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GNU GENERAL PUBLIC LICENSE
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Version 3, 29 June 2007
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|
||||
occurring solely as a consequence of using peer-to-peer transmission
|
||||
to receive a copy likewise does not require acceptance. However,
|
||||
nothing other than this License grants you permission to propagate or
|
||||
modify any covered work. These actions infringe copyright if you do
|
||||
not accept this License. Therefore, by modifying or propagating a
|
||||
covered work, you indicate your acceptance of this License to do so.
|
||||
|
||||
10. Automatic Licensing of Downstream Recipients.
|
||||
|
||||
Each time you convey a covered work, the recipient automatically
|
||||
receives a license from the original licensors, to run, modify and
|
||||
propagate that work, subject to this License. You are not responsible
|
||||
for enforcing compliance by third parties with this License.
|
||||
|
||||
An "entity transaction" is a transaction transferring control of an
|
||||
organization, or substantially all assets of one, or subdividing an
|
||||
organization, or merging organizations. If propagation of a covered
|
||||
work results from an entity transaction, each party to that
|
||||
transaction who receives a copy of the work also receives whatever
|
||||
licenses to the work the party's predecessor in interest had or could
|
||||
give under the previous paragraph, plus a right to possession of the
|
||||
Corresponding Source of the work from the predecessor in interest, if
|
||||
the predecessor has it or can get it with reasonable efforts.
|
||||
|
||||
You may not impose any further restrictions on the exercise of the
|
||||
rights granted or affirmed under this License. For example, you may
|
||||
not impose a license fee, royalty, or other charge for exercise of
|
||||
rights granted under this License, and you may not initiate litigation
|
||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
||||
any patent claim is infringed by making, using, selling, offering for
|
||||
sale, or importing the Program or any portion of it.
|
||||
|
||||
11. Patents.
|
||||
|
||||
A "contributor" is a copyright holder who authorizes use under this
|
||||
License of the Program or a work on which the Program is based. The
|
||||
work thus licensed is called the contributor's "contributor version".
|
||||
|
||||
A contributor's "essential patent claims" are all patent claims
|
||||
owned or controlled by the contributor, whether already acquired or
|
||||
hereafter acquired, that would be infringed by some manner, permitted
|
||||
by this License, of making, using, or selling its contributor version,
|
||||
but do not include claims that would be infringed only as a
|
||||
consequence of further modification of the contributor version. For
|
||||
purposes of this definition, "control" includes the right to grant
|
||||
patent sublicenses in a manner consistent with the requirements of
|
||||
this License.
|
||||
|
||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
||||
patent license under the contributor's essential patent claims, to
|
||||
make, use, sell, offer for sale, import and otherwise run, modify and
|
||||
propagate the contents of its contributor version.
|
||||
|
||||
In the following three paragraphs, a "patent license" is any express
|
||||
agreement or commitment, however denominated, not to enforce a patent
|
||||
(such as an express permission to practice a patent or covenant not to
|
||||
sue for patent infringement). To "grant" such a patent license to a
|
||||
party means to make such an agreement or commitment not to enforce a
|
||||
patent against the party.
|
||||
|
||||
If you convey a covered work, knowingly relying on a patent license,
|
||||
and the Corresponding Source of the work is not available for anyone
|
||||
to copy, free of charge and under the terms of this License, through a
|
||||
publicly available network server or other readily accessible means,
|
||||
then you must either (1) cause the Corresponding Source to be so
|
||||
available, or (2) arrange to deprive yourself of the benefit of the
|
||||
patent license for this particular work, or (3) arrange, in a manner
|
||||
consistent with the requirements of this License, to extend the patent
|
||||
license to downstream recipients. "Knowingly relying" means you have
|
||||
actual knowledge that, but for the patent license, your conveying the
|
||||
covered work in a country, or your recipient's use of the covered work
|
||||
in a country, would infringe one or more identifiable patents in that
|
||||
country that you have reason to believe are valid.
|
||||
|
||||
If, pursuant to or in connection with a single transaction or
|
||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
||||
covered work, and grant a patent license to some of the parties
|
||||
receiving the covered work authorizing them to use, propagate, modify
|
||||
or convey a specific copy of the covered work, then the patent license
|
||||
you grant is automatically extended to all recipients of the covered
|
||||
work and works based on it.
|
||||
|
||||
A patent license is "discriminatory" if it does not include within
|
||||
the scope of its coverage, prohibits the exercise of, or is
|
||||
conditioned on the non-exercise of one or more of the rights that are
|
||||
specifically granted under this License. You may not convey a covered
|
||||
work if you are a party to an arrangement with a third party that is
|
||||
in the business of distributing software, under which you make payment
|
||||
to the third party based on the extent of your activity of conveying
|
||||
the work, and under which the third party grants, to any of the
|
||||
parties who would receive the covered work from you, a discriminatory
|
||||
patent license (a) in connection with copies of the covered work
|
||||
conveyed by you (or copies made from those copies), or (b) primarily
|
||||
for and in connection with specific products or compilations that
|
||||
contain the covered work, unless you entered into that arrangement,
|
||||
or that patent license was granted, prior to 28 March 2007.
|
||||
|
||||
Nothing in this License shall be construed as excluding or limiting
|
||||
any implied license or other defenses to infringement that may
|
||||
otherwise be available to you under applicable patent law.
|
||||
|
||||
12. No Surrender of Others' Freedom.
|
||||
|
||||
If conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot convey a
|
||||
covered work so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you may
|
||||
not convey it at all. For example, if you agree to terms that obligate you
|
||||
to collect a royalty for further conveying from those to whom you convey
|
||||
the Program, the only way you could satisfy both those terms and this
|
||||
License would be to refrain entirely from conveying the Program.
|
||||
|
||||
13. Use with the GNU Affero General Public License.
|
||||
|
||||
Notwithstanding any other provision of this License, you have
|
||||
permission to link or combine any covered work with a work licensed
|
||||
under version 3 of the GNU Affero General Public License into a single
|
||||
combined work, and to convey the resulting work. The terms of this
|
||||
License will continue to apply to the part which is the covered work,
|
||||
but the special requirements of the GNU Affero General Public License,
|
||||
section 13, concerning interaction through a network will apply to the
|
||||
combination as such.
|
||||
|
||||
14. Revised Versions of this License.
|
||||
|
||||
The Free Software Foundation may publish revised and/or new versions of
|
||||
the GNU General Public License from time to time. Such new versions will
|
||||
be similar in spirit to the present version, but may differ in detail to
|
||||
address new problems or concerns.
|
||||
|
||||
Each version is given a distinguishing version number. If the
|
||||
Program specifies that a certain numbered version of the GNU General
|
||||
Public License "or any later version" applies to it, you have the
|
||||
option of following the terms and conditions either of that numbered
|
||||
version or of any later version published by the Free Software
|
||||
Foundation. If the Program does not specify a version number of the
|
||||
GNU General Public License, you may choose any version ever published
|
||||
by the Free Software Foundation.
|
||||
|
||||
If the Program specifies that a proxy can decide which future
|
||||
versions of the GNU General Public License can be used, that proxy's
|
||||
public statement of acceptance of a version permanently authorizes you
|
||||
to choose that version for the Program.
|
||||
|
||||
Later license versions may give you additional or different
|
||||
permissions. However, no additional obligations are imposed on any
|
||||
author or copyright holder as a result of your choosing to follow a
|
||||
later version.
|
||||
|
||||
15. Disclaimer of Warranty.
|
||||
|
||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
|
||||
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
|
||||
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. Limitation of Liability.
|
||||
|
||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
|
||||
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
|
||||
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
|
||||
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
|
||||
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
|
||||
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
|
||||
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
|
||||
SUCH DAMAGES.
|
||||
|
||||
17. Interpretation of Sections 15 and 16.
|
||||
|
||||
If the disclaimer of warranty and limitation of liability provided
|
||||
above cannot be given local legal effect according to their terms,
|
||||
reviewing courts shall apply local law that most closely approximates
|
||||
an absolute waiver of all civil liability in connection with the
|
||||
Program, unless a warranty or assumption of liability accompanies a
|
||||
copy of the Program in return for a fee.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Programs
|
||||
|
||||
If you develop a new program, and you want it to be of the greatest
|
||||
possible use to the public, the best way to achieve this is to make it
|
||||
free software which everyone can redistribute and change under these terms.
|
||||
|
||||
To do so, attach the following notices to the program. It is safest
|
||||
to attach them to the start of each source file to most effectively
|
||||
state the exclusion of warranty; and each file should have at least
|
||||
the "copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
{one line to give the program's name and a brief idea of what it does.}
|
||||
Copyright (C) {year} {name of author}
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License
|
||||
along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
If the program does terminal interaction, make it output a short
|
||||
notice like this when it starts in an interactive mode:
|
||||
|
||||
{project} Copyright (C) {year} {fullname}
|
||||
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
|
||||
This is free software, and you are welcome to redistribute it
|
||||
under certain conditions; type `show c' for details.
|
||||
|
||||
The hypothetical commands `show w' and `show c' should show the appropriate
|
||||
parts of the General Public License. Of course, your program's commands
|
||||
might be different; for a GUI interface, you would use an "about box".
|
||||
|
||||
You should also get your employer (if you work as a programmer) or school,
|
||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
||||
For more information on this, and how to apply and follow the GNU GPL, see
|
||||
<http://www.gnu.org/licenses/>.
|
||||
|
||||
The GNU General Public License does not permit incorporating your program
|
||||
into proprietary programs. If your program is a subroutine library, you
|
||||
may consider it more useful to permit linking proprietary applications with
|
||||
the library. If this is what you want to do, use the GNU Lesser General
|
||||
Public License instead of this License. But first, please read
|
||||
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
|
||||
|
||||
223
README-zh_cn.md
Normal file
223
README-zh_cn.md
Normal file
@ -0,0 +1,223 @@
|
||||
# Air [](https://github.com/air-verse/air/actions?query=workflow%3AGo+branch%3Amaster) [](https://www.codacy.com/gh/air-verse/air/dashboard?utm_source=github.com&utm_medium=referral&utm_content=air-verse/air&utm_campaign=Badge_Grade) [](https://goreportcard.com/report/github.com/air-verse/air) [](https://codecov.io/gh/air-verse/air)
|
||||
|
||||
:cloud: 热重载 Go 应用的工具
|
||||
|
||||
|
||||
|
||||
[English](README.md) | 简体中文
|
||||
|
||||
## 开发动机
|
||||
|
||||
当我用 Go 和 [gin](https://github.com/gin-gonic/gin) 框架开发网站时，gin 缺乏实时重载的功能是令人遗憾的。我曾经尝试过 [fresh](https://github.com/pilu/fresh) ，但是它用起来不太灵活，所以我试着用更好的方式来重写它。Air 就这样诞生了。此外，非常感谢 [pilu](https://github.com/pilu)。没有 fresh 就不会有 air :)
|
||||
|
||||
Air 是为 Go 应用开发设计的另外一个热重载的命令行工具。只需在你的项目根目录下输入 `air`，然后把它放在一边，专注于你的代码即可。
|
||||
|
||||
**注意**：该工具与生产环境的热部署无关。
|
||||
|
||||
## 特色
|
||||
|
||||
* 彩色的日志输出
|
||||
* 自定义构建或必要的命令
|
||||
* 支持外部子目录
|
||||
* 在 Air 启动之后，允许监听新创建的路径
|
||||
* 更棒的构建过程
|
||||
|
||||
### ✨ beta 版本的特性
|
||||
|
||||
支持使用参数来配置 air 字段:
|
||||
|
||||
如果你只是想配置构建命令和运行命令，您可以直接使用以下命令，而无需配置文件:
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api"
|
||||
```
|
||||
|
||||
对于以列表形式输入的参数，使用逗号来分隔项目:
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api" --build.exclude_dir "templates,build"
|
||||
```
|
||||
|
||||
## 安装
|
||||
|
||||
### 推荐使用 install.sh
|
||||
|
||||
```shell
|
||||
# binary 文件会是在 $(go env GOPATH)/bin/air
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s -- -b $(go env GOPATH)/bin
|
||||
|
||||
# 或者把它安装在 ./bin/ 路径下
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s
|
||||
|
||||
air -v
|
||||
```
|
||||
|
||||
P.S. 非常感谢 mattn 的 [PR](https://github.com/air-verse/air/pull/1)，使得 Air 支持 Windows 平台。
|
||||
|
||||
### 使用 `go install`
|
||||
|
||||
使用 Go 的版本为 1.22 或更高:
|
||||
|
||||
```bash
|
||||
go install github.com/air-verse/air@latest
|
||||
```
|
||||
|
||||
### Docker
|
||||
|
||||
请拉取这个 Docker 镜像 [cosmtrek/air](https://hub.docker.com/r/cosmtrek/air).
|
||||
|
||||
```shell
|
||||
docker run -it --rm \
|
||||
-w "<PROJECT>" \
|
||||
-e "air_wd=<PROJECT>" \
|
||||
-v $(pwd):<PROJECT> \
|
||||
-p <PORT>:<APP SERVER PORT> \
|
||||
cosmtrek/air
|
||||
-c <CONF>
|
||||
```
|
||||
|
||||
例如，我的项目之一是在 Docker 上运行的：
|
||||
|
||||
```shell
|
||||
docker run -it --rm \
|
||||
-w "/go/src/github.com/cosmtrek/hub" \
|
||||
-v $(pwd):/go/src/github.com/cosmtrek/hub \
|
||||
-p 9090:9090 \
|
||||
cosmtrek/air
|
||||
```
|
||||
|
||||
## 使用方法
|
||||
|
||||
您可以添加 `alias air='~/.air'` 到您的 `.bashrc` 或 `.zshrc` 后缀的文件.
|
||||
|
||||
首先，进入你的项目文件夹
|
||||
|
||||
```shell
|
||||
cd /path/to/your_project
|
||||
```
|
||||
|
||||
最简单的方法是执行
|
||||
|
||||
```shell
|
||||
# 优先在当前路径查找 `.air.toml` 后缀的文件，如果没有找到，则使用默认的
|
||||
air -c .air.toml
|
||||
```
|
||||
|
||||
您可以运行以下命令初始化，把默认配置添加到当前路径下的`.air.toml` 文件。
|
||||
|
||||
```shell
|
||||
air init
|
||||
```
|
||||
|
||||
在这之后，你只需执行 `air` 命令，无需添加额外的变量，它就能使用 `.air.toml` 文件中的配置了。
|
||||
|
||||
```shell
|
||||
air
|
||||
```
|
||||
|
||||
如欲修改配置信息，请参考 [air_example.toml](air_example.toml) 文件.
|
||||
|
||||
### 运行时参数
|
||||
|
||||
您可以通过把变量添加在 air 命令之后来传递参数。
|
||||
|
||||
```shell
|
||||
# 会执行 ./tmp/main bench
|
||||
air bench
|
||||
|
||||
# 会执行 ./tmp/main server --port 8080
|
||||
air server --port 8080
|
||||
```
|
||||
|
||||
You can separate the arguments passed for the air command and the built binary with `--` argument.
|
||||
|
||||
```shell
|
||||
# 会运行 ./tmp/main -h
|
||||
air -- -h
|
||||
|
||||
# 会使用个性化配置来运行 air，然后把 -h 后的变量和值添加到运行的参数中
|
||||
air -c .air.toml -- -h
|
||||
```
|
||||
|
||||
### Docker Compose
|
||||
|
||||
```yaml
|
||||
services:
|
||||
my-project-with-air:
|
||||
image: cosmtrek/air
|
||||
# working_dir value has to be the same of mapped volume
|
||||
working_dir: /project-package
|
||||
ports:
|
||||
- <any>:<any>
|
||||
environment:
|
||||
- ENV_A=${ENV_A}
|
||||
- ENV_B=${ENV_B}
|
||||
- ENV_C=${ENV_C}
|
||||
volumes:
|
||||
- ./project-relative-path/:/project-package/
|
||||
```
|
||||
|
||||
### 调试
|
||||
|
||||
运行 `air -d` 命令能打印所有日志。
|
||||
|
||||
## Q&A
|
||||
|
||||
### 遇到 "command not found: air" 或 "No such file or directory" 该怎么办？
|
||||
|
||||
```shell
|
||||
export GOPATH=$HOME/xxxxx
|
||||
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin
|
||||
export PATH=$PATH:$(go env GOPATH)/bin <---- 请确认这行在您的配置信息中！！！
|
||||
```
|
||||
|
||||
## 部署
|
||||
|
||||
请注意：这需要 Go 1.16+ ，因为我使用 `go mod` 来管理依赖。
|
||||
|
||||
```shell
|
||||
# 1. 首先复刻（fork）这个项目
|
||||
|
||||
# 2. 其次克隆（clone）它
|
||||
mkdir -p $GOPATH/src/github.com/cosmtrek
|
||||
cd $GOPATH/src/github.com/cosmtrek
|
||||
git clone git@github.com:<YOUR USERNAME>/air.git
|
||||
|
||||
# 3. 再次安装依赖
|
||||
cd air
|
||||
make ci
|
||||
|
||||
# 4. 这样就可以快乐地探索和玩耍啦！
|
||||
make install
|
||||
```
|
||||
|
||||
顺便说一句: 欢迎 PR~
|
||||
|
||||
### 发布新版本
|
||||
|
||||
```shell
|
||||
# 1. checkout 到 master 分支
|
||||
git checkout master
|
||||
|
||||
# 2. 添加需要发布的版本号
|
||||
git tag v1.xx.x
|
||||
|
||||
# 3. 推送到远程
|
||||
git push origin v1.xx.x
|
||||
|
||||
ci 会加工和处理，然后会发布新版本。等待大约五分钟，你就能获取到新版本了。
|
||||
```
|
||||
|
||||
## 赞助
|
||||
|
||||
<a href="https://www.buymeacoffee.com/36lcNbW" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" style="height: 51px !important;width: 217px !important;" ></a>
|
||||
|
||||
衷心感谢以下的支持者。我一直铭记着你们的善意。
|
||||
|
||||
* Peter Aba
|
||||
* Apostolis Anastasiou
|
||||
* keita koga
|
||||
|
||||
## 许可证
|
||||
|
||||
[GNU General Public License v3.0](LICENSE)
|
||||
307
README-zh_tw.md
Normal file
307
README-zh_tw.md
Normal file
@ -0,0 +1,307 @@
|
||||
# :cloud: Air - Live reload for Go apps
|
||||
|
||||
[](https://github.com/air-verse/air/actions?query=workflow%3AGo+branch%3Amaster) [](https://www.codacy.com/gh/air-verse/air/dashboard?utm_source=github.com&utm_medium=referral&utm_content=air-verse/air&utm_campaign=Badge_Grade) [](https://goreportcard.com/report/github.com/air-verse/air) [](https://codecov.io/gh/air-verse/air)
|
||||
|
||||
|
||||
|
||||
[English](README.md) | [简体中文](README-zh_cn.md) | 繁體中文
|
||||
|
||||
## 開發動機
|
||||
|
||||
當我開始用 Go 開發網站並使用[gin](https://github.com/gin-gonic/gin)框架時，感到可惜的是 gin 缺乏自動重新編譯執行的方式。因此，我四處搜尋並嘗試使用[fresh](https://github.com/pilu/fresh)，但它似乎不夠彈性，所以我打算重新寫得更好。最後，Air 就這麼誕生了。另外，非常感謝[pilu](https://github.com/pilu)，如果沒有 fresh，就不會有 air :)
|
||||
|
||||
Air 是一個另類的自動重新編譯執行命令列工具，用於開發 Go 應用。在你的項目根目錄下運行 `air`，將它執行於背景中，並專注於你的程式碼。
|
||||
|
||||
注意：此工具與生產環境的熱部署無關。
|
||||
|
||||
## 功能列表
|
||||
|
||||
* 彩色的日誌輸出
|
||||
* 自訂建立或任何命令
|
||||
* 支援排除子目錄
|
||||
* 允許在 Air 開始後監視新目錄
|
||||
* 更佳的建置過程
|
||||
|
||||
### 用參數覆寫指定的配置
|
||||
|
||||
支援將 air 做為參數的配置字段：
|
||||
|
||||
如果你想設定建置命令和執行命令，你可以在不需要配置檔案的情況下如下使用命令：
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api"`
|
||||
```
|
||||
|
||||
對於需要輸入列表的參數，可以使用逗號將項目分隔：
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api" --build.exclude_dir "templates,build"
|
||||
```
|
||||
|
||||
## 安裝
|
||||
|
||||
### 使用 `go install` （推薦）
|
||||
|
||||
需要使用 go 1.22 或更高版本：
|
||||
|
||||
```bash
|
||||
go install github.com/air-verse/air@latest
|
||||
```
|
||||
|
||||
### 透過 install.sh
|
||||
|
||||
```shell
|
||||
# binary will be $(go env GOPATH)/bin/air
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s -- -b $(go env GOPATH)/bin
|
||||
|
||||
# or install it into ./bin/
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s
|
||||
|
||||
air -v
|
||||
```
|
||||
|
||||
### 透過 [goblin.run](https://goblin.run)
|
||||
|
||||
```shell
|
||||
# binary will be /usr/local/bin/air
|
||||
curl -sSfL https://goblin.run/github.com/air-verse/air | sh
|
||||
|
||||
# to put to a custom path
|
||||
curl -sSfL https://goblin.run/github.com/air-verse/air | PREFIX=/tmp sh
|
||||
```
|
||||
|
||||
### 透過 `go install`
|
||||
|
||||
使用 go 1.18 或更高版本:
|
||||
|
||||
```bash
|
||||
go install github.com/air-verse/air@latest
|
||||
```
|
||||
|
||||
### Docker/Podman
|
||||
|
||||
請讀取 Docker 映像檔 [cosmtrek/air](https://hub.docker.com/r/cosmtrek/air).
|
||||
|
||||
```shell
|
||||
docker/podman run -it --rm \
|
||||
-w "<PROJECT>" \
|
||||
-e "air_wd=<PROJECT>" \
|
||||
-v $(pwd):<PROJECT> \
|
||||
-p <PORT>:<APP SERVER PORT> \
|
||||
cosmtrek/air
|
||||
-c <CONF>
|
||||
```
|
||||
|
||||
#### Docker/Podman .${SHELL}rc
|
||||
|
||||
如果你想像常規應用程式一樣持續使用 air，你可以在你的 ${SHELL}rc (Bash, Zsh, etc…) 中創建一個函數。
|
||||
|
||||
```shell
|
||||
air() {
|
||||
podman/docker run -it --rm \
|
||||
-w "$PWD" -v "$PWD":"$PWD" \
|
||||
-p "$AIR_PORT":"$AIR_PORT" \
|
||||
docker.io/cosmtrek/air "$@"
|
||||
}
|
||||
```
|
||||
|
||||
`<PROJECT>` 是你的容器中的專案路徑，例如：/go/example 如果你想要進入容器，請加上 --entrypoint=bash。
|
||||
|
||||
<details>
|
||||
<summary>For example</summary>
|
||||
|
||||
我其中一個專案是在 Docker 中運行
|
||||
|
||||
```shell
|
||||
docker run -it --rm \
|
||||
-w "/go/src/github.com/cosmtrek/hub" \
|
||||
-v $(pwd):/go/src/github.com/cosmtrek/hub \
|
||||
-p 9090:9090 \
|
||||
cosmtrek/air
|
||||
```
|
||||
|
||||
另一個例子
|
||||
|
||||
```shell
|
||||
cd /go/src/github.com/cosmtrek/hub
|
||||
AIR_PORT=8080 air -c "config.toml"
|
||||
```
|
||||
|
||||
這將會用當前目錄替換 `$PWD`，`$AIR_PORT` 是發佈的端口，`$@` 是用來接受應用程式本身的參數，例如 -c
|
||||
|
||||
</details>
|
||||
|
||||
## 使用方式
|
||||
|
||||
為了減少輸入，你可以將 `alias air='~/.air'` 加到你的 `.bashrc` 或者 `.zshrc`。
|
||||
|
||||
首先，進入你的專案目錄
|
||||
|
||||
```shell
|
||||
cd /path/to/your_project
|
||||
```
|
||||
|
||||
最簡單的使用方式是運行
|
||||
|
||||
```shell
|
||||
# firstly find `.air.toml` in current directory, if not found, use defaults
|
||||
air -c .air.toml
|
||||
```
|
||||
|
||||
你可以用以下命令初始化 `.air.toml` 配置檔到當前目錄，並使用預設設置。
|
||||
|
||||
```shell
|
||||
air init
|
||||
```
|
||||
|
||||
此後，你可以只運行 `air` 命令，而不需要額外的參數，它將使用 `.air.toml` 檔案作為配置。
|
||||
|
||||
```shell
|
||||
air
|
||||
```
|
||||
|
||||
要修改配置，請參閱 [air_example.toml](air_example.toml) 檔案。
|
||||
|
||||
### 運行時參數
|
||||
|
||||
你可以在 air 命令後添加參數來運行已構建的二進制檔。
|
||||
|
||||
```shell
|
||||
# Will run ./tmp/main bench
|
||||
air bench
|
||||
|
||||
# Will run ./tmp/main server --port 8080
|
||||
air server --port 8080
|
||||
```
|
||||
|
||||
你可以使用 `--` 參數來分隔傳遞給 air 命令和已建構的二進制檔的參數。
|
||||
|
||||
```shell
|
||||
# Will run ./tmp/main -h
|
||||
air -- -h
|
||||
|
||||
# Will run air with custom config and pass -h argument to the built binary
|
||||
air -c .air.toml -- -h
|
||||
```
|
||||
|
||||
### Docker Compose
|
||||
|
||||
```yaml
|
||||
services:
|
||||
my-project-with-air:
|
||||
image: cosmtrek/air
|
||||
# working_dir value has to be the same of mapped volume
|
||||
working_dir: /project-package
|
||||
ports:
|
||||
- <any>:<any>
|
||||
environment:
|
||||
- ENV_A=${ENV_A}
|
||||
- ENV_B=${ENV_B}
|
||||
- ENV_C=${ENV_C}
|
||||
volumes:
|
||||
- ./project-relative-path/:/project-package/
|
||||
```
|
||||
|
||||
### 除錯
|
||||
|
||||
`air -d` prints all logs.
|
||||
|
||||
## 對於不想使用 air 映像的 Docker 使用者的安裝與使用方法
|
||||
|
||||
`Dockerfile`
|
||||
|
||||
```Dockerfile
|
||||
# Choose whatever you want, version >= 1.16
|
||||
FROM golang:1.21-alpine
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
RUN go install github.com/air-verse/air@latest
|
||||
|
||||
COPY go.mod go.sum ./
|
||||
RUN go mod download
|
||||
|
||||
CMD ["air", "-c", ".air.toml"]
|
||||
```
|
||||
|
||||
`docker-compose.yaml`
|
||||
|
||||
```yaml
|
||||
version: "3.8"
|
||||
services:
|
||||
web:
|
||||
build:
|
||||
context: .
|
||||
# Correct the path to your Dockerfile
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- 8080:3000
|
||||
# Important to bind/mount your codebase dir to /app dir for live reload
|
||||
volumes:
|
||||
- ./:/app
|
||||
```
|
||||
|
||||
## Q&A
|
||||
|
||||
### "找不到命令：air" 或者 "找不到檔案或目錄"
|
||||
|
||||
```shell
|
||||
export GOPATH=$HOME/xxxxx
|
||||
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin
|
||||
export PATH=$PATH:$(go env GOPATH)/bin <---- Confirm this line in you profile!!!
|
||||
```
|
||||
|
||||
### 當 bin 中包含 ' 時，在 wsl 下的錯誤
|
||||
|
||||
應該使用 `\` 來轉義 bin 中的 `'。相關議題：[#305](https://github.com/air-verse/air/issues/305)
|
||||
|
||||
## 開發
|
||||
|
||||
請注意，由於我使用 `go mod` 來管理依賴，所以需要 Go 1.16+。
|
||||
|
||||
```shell
|
||||
# Fork this project
|
||||
|
||||
# Clone it
|
||||
mkdir -p $GOPATH/src/github.com/cosmtrek
|
||||
cd $GOPATH/src/github.com/cosmtrek
|
||||
git clone git@github.com:<YOUR USERNAME>/air.git
|
||||
|
||||
# Install dependencies
|
||||
cd air
|
||||
make ci
|
||||
|
||||
# Explore it and happy hacking!
|
||||
make install
|
||||
```
|
||||
|
||||
歡迎提出 Pull Request
|
||||
|
||||
### 發佈版本
|
||||
|
||||
```shell
|
||||
# Checkout to master
|
||||
git checkout master
|
||||
|
||||
# Add the version that needs to be released
|
||||
git tag v1.xx.x
|
||||
|
||||
# Push to remote
|
||||
git push origin v1.xx.x
|
||||
|
||||
# The CI will process and release a new version. Wait about 5 min, and you can fetch the latest version
|
||||
```
|
||||
|
||||
## 星星歷史
|
||||
|
||||
[](https://star-history.com/#air-verse/air&Date)
|
||||
|
||||
## 贊助專案
|
||||
|
||||
[](https://www.buymeacoffee.com/cosmtrek)
|
||||
|
||||
非常感謝大量的支持者。我一直記得你們的善意。
|
||||
|
||||
## 授權
|
||||
|
||||
[GNU General Public License v3.0](LICENSE)
|
||||
329
README.md
Normal file
329
README.md
Normal file
@ -0,0 +1,329 @@
|
||||
# :cloud: Air - Live reload for Go apps
|
||||
|
||||
[](https://github.com/air-verse/air/actions?query=workflow%3AGo+branch%3Amaster) [](https://www.codacy.com/gh/air-verse/air/dashboard?utm_source=github.com&utm_medium=referral&utm_content=air-verse/air&utm_campaign=Badge_Grade) [](https://goreportcard.com/report/github.com/air-verse/air) [](https://codecov.io/gh/air-verse/air)
|
||||
|
||||
|
||||
|
||||
English | [简体中文](README-zh_cn.md) | [繁體中文](README-zh_tw.md)
|
||||
|
||||
## Motivation
|
||||
|
||||
When I started developing websites in Go and using [gin](https://github.com/gin-gonic/gin) framework, it was a pity
|
||||
that gin lacked a live-reloading function. So I searched around and tried [fresh](https://github.com/pilu/fresh), it seems not much
|
||||
flexible, so I intended to rewrite it better. Finally, Air's born.
|
||||
In addition, great thanks to [pilu](https://github.com/pilu), no fresh, no air :)
|
||||
|
||||
Air is yet another live-reloading command line utility for developing Go applications. Run `air` in your project root directory, leave it alone,
|
||||
and focus on your code.
|
||||
|
||||
Note: This tool has nothing to do with hot-deploy for production.
|
||||
|
||||
## Features
|
||||
|
||||
* Colorful log output
|
||||
* Customize build or any command
|
||||
* Support excluding subdirectories
|
||||
* Allow watching new directories after Air started
|
||||
* Better building process
|
||||
|
||||
### Overwrite specify configuration from arguments
|
||||
|
||||
Support air config fields as arguments:
|
||||
|
||||
If you want to config build command and run command, you can use like the following command without the config file:
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api"
|
||||
```
|
||||
|
||||
Use a comma to separate items for arguments that take a list as input:
|
||||
|
||||
```shell
|
||||
air --build.cmd "go build -o bin/api cmd/run.go" --build.bin "./bin/api" --build.exclude_dir "templates,build"
|
||||
```
|
||||
|
||||
## Installation
|
||||
|
||||
### Via `go install` (Recommended)
|
||||
|
||||
With go 1.22 or higher:
|
||||
|
||||
```bash
|
||||
go install github.com/air-verse/air@latest
|
||||
```
|
||||
|
||||
### Via install.sh
|
||||
|
||||
```shell
|
||||
# binary will be $(go env GOPATH)/bin/air
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s -- -b $(go env GOPATH)/bin
|
||||
|
||||
# or install it into ./bin/
|
||||
curl -sSfL https://raw.githubusercontent.com/air-verse/air/master/install.sh | sh -s
|
||||
|
||||
air -v
|
||||
```
|
||||
|
||||
### Via [goblin.run](https://goblin.run)
|
||||
|
||||
```shell
|
||||
# binary will be /usr/local/bin/air
|
||||
curl -sSfL https://goblin.run/github.com/air-verse/air | sh
|
||||
|
||||
# to put to a custom path
|
||||
curl -sSfL https://goblin.run/github.com/air-verse/air | PREFIX=/tmp sh
|
||||
```
|
||||
|
||||
### Docker/Podman
|
||||
|
||||
Please pull this Docker image [cosmtrek/air](https://hub.docker.com/r/cosmtrek/air).
|
||||
|
||||
```shell
|
||||
docker/podman run -it --rm \
|
||||
-w "<PROJECT>" \
|
||||
-e "air_wd=<PROJECT>" \
|
||||
-v $(pwd):<PROJECT> \
|
||||
-p <PORT>:<APP SERVER PORT> \
|
||||
cosmtrek/air
|
||||
-c <CONF>
|
||||
```
|
||||
|
||||
#### Docker/Podman .${SHELL}rc
|
||||
|
||||
if you want to use air continuously like a normal app, you can create a function in your ${SHELL}rc (Bash, Zsh, etc…)
|
||||
|
||||
```shell
|
||||
air() {
|
||||
podman/docker run -it --rm \
|
||||
-w "$PWD" -v "$PWD":"$PWD" \
|
||||
-p "$AIR_PORT":"$AIR_PORT" \
|
||||
docker.io/cosmtrek/air "$@"
|
||||
}
|
||||
```
|
||||
|
||||
`<PROJECT>` is your project path in container, eg: /go/example
|
||||
if you want to enter the container, Please add --entrypoint=bash.
|
||||
|
||||
<details>
|
||||
<summary>For example</summary>
|
||||
|
||||
One of my project runs in Docker:
|
||||
|
||||
```shell
|
||||
docker run -it --rm \
|
||||
-w "/go/src/github.com/cosmtrek/hub" \
|
||||
-v $(pwd):/go/src/github.com/cosmtrek/hub \
|
||||
-p 9090:9090 \
|
||||
cosmtrek/air
|
||||
```
|
||||
|
||||
Another example:
|
||||
|
||||
```shell
|
||||
cd /go/src/github.com/cosmtrek/hub
|
||||
AIR_PORT=8080 air -c "config.toml"
|
||||
```
|
||||
|
||||
this will replace `$PWD` with the current directory, `$AIR_PORT` is the port where to publish and `$@` is to accept arguments of the application itself for example -c
|
||||
|
||||
</details>
|
||||
|
||||
## Usage
|
||||
|
||||
For less typing, you could add `alias air='~/.air'` to your `.bashrc` or `.zshrc`.
|
||||
|
||||
First enter into your project
|
||||
|
||||
```shell
|
||||
cd /path/to/your_project
|
||||
```
|
||||
|
||||
The simplest usage is run
|
||||
|
||||
```shell
|
||||
# firstly find `.air.toml` in current directory, if not found, use defaults
|
||||
air -c .air.toml
|
||||
```
|
||||
|
||||
You can initialize the `.air.toml` configuration file to the current directory with the default settings running the following command.
|
||||
|
||||
```shell
|
||||
air init
|
||||
```
|
||||
|
||||
After this, you can just run the `air` command without additional arguments, and it will use the `.air.toml` file for configuration.
|
||||
|
||||
```shell
|
||||
air
|
||||
```
|
||||
|
||||
For modifying the configuration refer to the [air_example.toml](air_example.toml) file.
|
||||
|
||||
### Runtime arguments
|
||||
|
||||
You can pass arguments for running the built binary by adding them after the air command.
|
||||
|
||||
```shell
|
||||
# Will run ./tmp/main bench
|
||||
air bench
|
||||
|
||||
# Will run ./tmp/main server --port 8080
|
||||
air server --port 8080
|
||||
```
|
||||
|
||||
You can separate the arguments passed for the air command and the built binary with `--` argument.
|
||||
|
||||
```shell
|
||||
# Will run ./tmp/main -h
|
||||
air -- -h
|
||||
|
||||
# Will run air with custom config and pass -h argument to the built binary
|
||||
air -c .air.toml -- -h
|
||||
```
|
||||
|
||||
### Docker Compose
|
||||
|
||||
```yaml
|
||||
services:
|
||||
my-project-with-air:
|
||||
image: cosmtrek/air
|
||||
# working_dir value has to be the same of mapped volume
|
||||
working_dir: /project-package
|
||||
ports:
|
||||
- <any>:<any>
|
||||
environment:
|
||||
- ENV_A=${ENV_A}
|
||||
- ENV_B=${ENV_B}
|
||||
- ENV_C=${ENV_C}
|
||||
volumes:
|
||||
- ./project-relative-path/:/project-package/
|
||||
```
|
||||
|
||||
### Debug
|
||||
|
||||
`air -d` prints all logs.
|
||||
|
||||
## Installation and Usage for Docker users who don't want to use air image
|
||||
|
||||
`Dockerfile`
|
||||
|
||||
```Dockerfile
|
||||
# Choose whatever you want, version >= 1.16
|
||||
FROM golang:1.22-alpine
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
RUN go install github.com/air-verse/air@latest
|
||||
|
||||
COPY go.mod go.sum ./
|
||||
RUN go mod download
|
||||
|
||||
CMD ["air", "-c", ".air.toml"]
|
||||
```
|
||||
|
||||
`docker-compose.yaml`
|
||||
|
||||
```yaml
|
||||
version: "3.8"
|
||||
services:
|
||||
web:
|
||||
build:
|
||||
context: .
|
||||
# Correct the path to your Dockerfile
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- 8080:3000
|
||||
# Important to bind/mount your codebase dir to /app dir for live reload
|
||||
volumes:
|
||||
- ./:/app
|
||||
```
|
||||
|
||||
## Q&A
|
||||
|
||||
### "command not found: air" or "No such file or directory"
|
||||
|
||||
```shell
|
||||
export GOPATH=$HOME/xxxxx
|
||||
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin
|
||||
export PATH=$PATH:$(go env GOPATH)/bin <---- Confirm this line in you profile!!!
|
||||
```
|
||||
|
||||
### Error under wsl when ' is included in the bin
|
||||
|
||||
Should use `\` to escape the `' in the bin. related issue: [#305](https://github.com/air-verse/air/issues/305)
|
||||
|
||||
### Question: how to do hot compile only and do not run anything?
|
||||
|
||||
[#365](https://github.com/air-verse/air/issues/365)
|
||||
|
||||
```toml
|
||||
[build]
|
||||
cmd = "/usr/bin/true"
|
||||
```
|
||||
|
||||
### How to Reload the Browser Automatically on Static File Changes
|
||||
|
||||
|
||||
Refer to issue [#512](https://github.com/air-verse/air/issues/512) for additional details.
|
||||
|
||||
* Ensure your static files in `include_dir`, `include_ext`, or `include_file`.
|
||||
* Ensure your HTML has a `</body>` tag
|
||||
* Activate the proxy by configuring the following config:
|
||||
|
||||
```toml
|
||||
[proxy]
|
||||
enabled = true
|
||||
proxy_port = <air proxy port>
|
||||
app_port = <your server port>
|
||||
```
|
||||
|
||||
## Development
|
||||
|
||||
Please note that it requires Go 1.16+ since I use `go mod` to manage dependencies.
|
||||
|
||||
```shell
|
||||
# Fork this project
|
||||
|
||||
# Clone it
|
||||
mkdir -p $GOPATH/src/github.com/cosmtrek
|
||||
cd $GOPATH/src/github.com/cosmtrek
|
||||
git clone git@github.com:<YOUR USERNAME>/air.git
|
||||
|
||||
# Install dependencies
|
||||
cd air
|
||||
make ci
|
||||
|
||||
# Explore it and happy hacking!
|
||||
make install
|
||||
```
|
||||
|
||||
Pull requests are welcome.
|
||||
|
||||
### Release
|
||||
|
||||
```shell
|
||||
# Checkout to master
|
||||
git checkout master
|
||||
|
||||
# Add the version that needs to be released
|
||||
git tag v1.xx.x
|
||||
|
||||
# Push to remote
|
||||
git push origin v1.xx.x
|
||||
|
||||
# The CI will process and release a new version. Wait about 5 min, and you can fetch the latest version
|
||||
```
|
||||
|
||||
## Star History
|
||||
|
||||
[](https://star-history.com/#air-verse/air&Date)
|
||||
|
||||
## Sponsor
|
||||
|
||||
[](https://www.buymeacoffee.com/cosmtrek)
|
||||
|
||||
Give huge thanks to lots of supporters. I've always been remembering your kindness.
|
||||
|
||||
## License
|
||||
|
||||
[GNU General Public License v3.0](LICENSE)
|
||||
BIN
air_1.52.2_linux_amd64.tar.gz
Normal file
BIN
air_1.52.2_linux_amd64.tar.gz
Normal file
Binary file not shown.
BIN
assets/aparna.jpg
Executable file
BIN
assets/aparna.jpg
Executable file
Binary file not shown.
|
After Width: | Height: | Size: 3.1 MiB |
162
backup.py
Normal file
162
backup.py
Normal file
@ -0,0 +1,162 @@
|
||||
import math
|
||||
import cv2
|
||||
import mediapipe as mp
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
|
||||
front_image = cv2.imread(
|
||||
"/home/aparna/body_measurements_mp/assests/aparna.jpg")
|
||||
side_image = cv2.imread(
|
||||
"/home/aparna/body_measurements_mp/body_measurement_using_cv/Images/final3.jpg"
|
||||
)
|
||||
|
||||
resized_height = 256
|
||||
resized_width = int(front_image.shape[1] *
|
||||
(resized_height / front_image.shape[0]))
|
||||
front_image_resized = cv2.resize(front_image, (resized_width, resized_height))
|
||||
side_image_resized = cv2.resize(side_image, (resized_width, resized_height))
|
||||
|
||||
front_image_gray = cv2.cvtColor(front_image_resized, cv2.COLOR_BGR2GRAY)
|
||||
side_image_gray = cv2.cvtColor(side_image_resized, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
front_image_normalized = front_image_gray.astype("float32") / 255.0
|
||||
side_image_normalized = side_image_gray.astype("float32") / 255.0
|
||||
|
||||
cv2.imshow("front_img", front_image_normalized)
|
||||
cv2.imshow("side_image", side_image_normalized)
|
||||
|
||||
mp_pose = mp.solutions.pose
|
||||
pose = mp_pose.Pose(static_image_mode=True,
|
||||
min_detection_confidence=0.5,
|
||||
min_tracking_confidence=0.5)
|
||||
|
||||
resized_height = 256
|
||||
resized_width = int(front_image.shape[1] *
|
||||
(resized_height / front_image.shape[0]))
|
||||
front_image_resized = cv2.resize(front_image, (resized_width, resized_height))
|
||||
|
||||
landmark_indices = [11, 12, 13, 14, 15, 16, 23, 24, 25, 26, 27, 28]
|
||||
|
||||
front_results = pose.process(
|
||||
cv2.cvtColor(front_image_resized, cv2.COLOR_BGR2RGB))
|
||||
side_results = pose.process(cv2.cvtColor(side_image_resized,
|
||||
cv2.COLOR_BGR2RGB))
|
||||
|
||||
front_image_keypoints = front_image_resized.copy()
|
||||
side_image_keypoints = side_image_resized.copy()
|
||||
|
||||
|
||||
def calculate_distance(landmark1, landmark2, pixel_to_metric_ratio):
|
||||
l1 = landmark1.x, landmark1.y
|
||||
l1 = int(l1[0] * resized_width), int(l1[1] * resized_height)
|
||||
x1, y1 = l1
|
||||
l2 = landmark2.x, landmark2.y
|
||||
l2 = int(l2[0] * resized_width), int(l2[1] * resized_height)
|
||||
x2, y2 = l2
|
||||
print(
|
||||
"x1: ",
|
||||
landmark1.x,
|
||||
"y1: ",
|
||||
landmark1.y,
|
||||
"x2: ",
|
||||
landmark2.x,
|
||||
"y2: ",
|
||||
landmark2.y,
|
||||
)
|
||||
pixel_distance = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
|
||||
real_life_distance = pixel_distance * pixel_to_metric_ratio
|
||||
return real_life_distance
|
||||
|
||||
|
||||
def draw_landmarks(image, landmarks, indices):
|
||||
for idx in indices:
|
||||
landmark = landmarks.landmark[idx]
|
||||
h, w, _ = image.shape
|
||||
cx, cy = int(landmark.x * w), int(landmark.y * h)
|
||||
cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1)
|
||||
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
draw_landmarks(front_image_keypoints, front_results.pose_landmarks,
|
||||
landmark_indices)
|
||||
|
||||
if side_results.pose_landmarks:
|
||||
draw_landmarks(side_image_keypoints, side_results.pose_landmarks,
|
||||
landmark_indices)
|
||||
|
||||
h, w, _ = front_image_keypoints.shape
|
||||
height_cm = 150
|
||||
pixel_distance_height = 126.32 * 2
|
||||
pixel_to_metric_ratio = height_cm / pixel_distance_height
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
shoulder_left = front_results.pose_landmarks.landmark[11]
|
||||
elbow_left = front_results.pose_landmarks.landmark[13]
|
||||
distance_left_hand_up = calculate_distance(shoulder_left, elbow_left,
|
||||
pixel_to_metric_ratio)
|
||||
print("Distance between left shoulder and left elbow:",
|
||||
distance_left_hand_up)
|
||||
|
||||
elbow_left = front_results.pose_landmarks.landmark[13]
|
||||
wrist_left = front_results.pose_landmarks.landmark[15]
|
||||
distance_left_hand_down = calculate_distance(elbow_left, wrist_left,
|
||||
pixel_to_metric_ratio)
|
||||
print("Distance between left elbow and left wrist:",
|
||||
distance_left_hand_down)
|
||||
|
||||
hip_left = front_results.pose_landmarks.landmark[23]
|
||||
knee_left = front_results.pose_landmarks.landmark[25]
|
||||
distance_left_leg_up = calculate_distance(hip_left, knee_left,
|
||||
pixel_to_metric_ratio)
|
||||
print("Distance between left hip and left knee:", distance_left_leg_up)
|
||||
|
||||
knee_left = front_results.pose_landmarks.landmark[25]
|
||||
ankle_left = front_results.pose_landmarks.landmark[27]
|
||||
distance_left_leg_down = calculate_distance(knee_left, ankle_left,
|
||||
pixel_to_metric_ratio)
|
||||
print("Distance between left knee and left ankle:", distance_left_leg_down)
|
||||
|
||||
gray_image = cv2.cvtColor(front_image_keypoints, cv2.COLOR_BGR2GRAY)
|
||||
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
|
||||
roi = blurred_image[0:int(resized_height / 2), :]
|
||||
edges = cv2.Canny(roi, 50, 150)
|
||||
|
||||
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE,
|
||||
cv2.CHAIN_APPROX_SIMPLE)
|
||||
|
||||
outermost_contours = [
|
||||
contours[i] for i in range(len(contours)) if hierarchy[0][i][3] == -1
|
||||
]
|
||||
|
||||
topmost_point = None
|
||||
if outermost_contours:
|
||||
largest_contour = max(outermost_contours, key=cv2.contourArea)
|
||||
topmost_point = tuple(largest_contour[largest_contour[:, :,
|
||||
1].argmin()][0])
|
||||
topmost_point = (topmost_point[0], topmost_point[1])
|
||||
cv2.circle(front_image_keypoints, topmost_point, 2, (255, 0, 0), -1)
|
||||
|
||||
left_hip_idx = 23
|
||||
right_hip_idx = 24
|
||||
|
||||
center_point = None
|
||||
if front_results.pose_landmarks:
|
||||
left_hip = front_results.pose_landmarks.landmark[left_hip_idx]
|
||||
right_hip = front_results.pose_landmarks.landmark[right_hip_idx]
|
||||
center_point = ((left_hip.x + right_hip.x) / 2,
|
||||
(left_hip.y + right_hip.y) / 2)
|
||||
center_point = (
|
||||
int(center_point[0] * resized_width),
|
||||
int(center_point[1] * resized_height),
|
||||
)
|
||||
cv2.circle(front_image_keypoints, center_point, 2, (255, 0, 0), -1)
|
||||
|
||||
print("Pixel distance for height:", pixel_distance_height)
|
||||
print("Pixel-to-metric ratio:", pixel_to_metric_ratio)
|
||||
|
||||
cv2.imshow("front_img_keypoints", front_image_keypoints)
|
||||
cv2.imshow("side_img_keypoints", side_image_keypoints)
|
||||
|
||||
cv2.waitKey(0)
|
||||
cv2.destroyAllWindows()
|
||||
pose.close()
|
||||
387
landmarks.py
387
landmarks.py
@ -1,156 +1,243 @@
|
||||
import argparse
|
||||
import math
|
||||
import cv2
|
||||
import mediapipe as mp
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
|
||||
front_image = cv2.imread("/home/aparna/body_measurements_mp/assests/aparna.jpg")
|
||||
side_image = cv2.imread(
|
||||
"/home/aparna/body_measurements_mp/body_measurement_using_cv/Images/final3.jpg"
|
||||
)
|
||||
|
||||
resized_height = 256
|
||||
resized_width = int(front_image.shape[1] * (resized_height / front_image.shape[0]))
|
||||
front_image_resized = cv2.resize(front_image, (resized_width, resized_height))
|
||||
side_image_resized = cv2.resize(side_image, (resized_width, resized_height))
|
||||
|
||||
front_image_gray = cv2.cvtColor(front_image_resized, cv2.COLOR_BGR2GRAY)
|
||||
side_image_gray = cv2.cvtColor(side_image_resized, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
front_image_normalized = front_image_gray.astype("float32") / 255.0
|
||||
side_image_normalized = side_image_gray.astype("float32") / 255.0
|
||||
|
||||
cv2.imshow("front_img", front_image_normalized)
|
||||
cv2.imshow("side_image", side_image_normalized)
|
||||
|
||||
mp_pose = mp.solutions.pose
|
||||
pose = mp_pose.Pose(
|
||||
static_image_mode=True, min_detection_confidence=0.5, min_tracking_confidence=0.5
|
||||
)
|
||||
|
||||
resized_height = 256
|
||||
resized_width = int(front_image.shape[1] * (resized_height / front_image.shape[0]))
|
||||
front_image_resized = cv2.resize(front_image, (resized_width, resized_height))
|
||||
|
||||
landmark_indices = [11, 12, 13, 14, 15, 16, 23, 24, 25, 26, 27, 28]
|
||||
|
||||
front_results = pose.process(cv2.cvtColor(front_image_resized, cv2.COLOR_BGR2RGB))
|
||||
side_results = pose.process(cv2.cvtColor(side_image_resized, cv2.COLOR_BGR2RGB))
|
||||
|
||||
front_image_keypoints = front_image_resized.copy()
|
||||
side_image_keypoints = side_image_resized.copy()
|
||||
from mediapipe.python.solutions import pose
|
||||
|
||||
|
||||
def calculate_distance(landmark1, landmark2, pixel_to_metric_ratio):
|
||||
l1 = landmark1.x, landmark1.y
|
||||
l1 = int(l1[0] * resized_width), int(l1[1] * resized_height)
|
||||
x1, y1 = l1
|
||||
l2 = landmark2.x, landmark2.y
|
||||
l2 = int(l2[0] * resized_width), int(l2[1] * resized_height)
|
||||
x2, y2 = l2
|
||||
print(
|
||||
"x1: ",
|
||||
landmark1.x,
|
||||
"y1: ",
|
||||
landmark1.y,
|
||||
"x2: ",
|
||||
landmark2.x,
|
||||
"y2: ",
|
||||
landmark2.y,
|
||||
)
|
||||
pixel_distance = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
|
||||
real_life_distance = pixel_distance * pixel_to_metric_ratio
|
||||
return real_life_distance
|
||||
class Landmarker:
|
||||
|
||||
def __init__(self) -> None:
|
||||
args = self.parse_args()
|
||||
if args.front_image == None:
|
||||
raise Exception("front image needs to be passed")
|
||||
if args.side_image == None:
|
||||
raise Exception("side image needs to be passed")
|
||||
|
||||
self.front_image = cv2.imread(args.front_image)
|
||||
self.side_image = cv2.imread(args.side_image)
|
||||
|
||||
self.person_height = args.person_height
|
||||
self.pixel_height = args.pixel_height
|
||||
|
||||
self.pose = pose.Pose(
|
||||
static_image_mode=True,
|
||||
min_detection_confidence=args.pose_detection_confidence,
|
||||
min_tracking_confidence=args.pose_tracking_confidence,
|
||||
)
|
||||
|
||||
self.landmarks_indices = [
|
||||
pose.PoseLandmark.LEFT_SHOULDER.value,
|
||||
pose.PoseLandmark.RIGHT_SHOULDER.value,
|
||||
pose.PoseLandmark.LEFT_ELBOW.value,
|
||||
pose.PoseLandmark.RIGHT_ELBOW.value,
|
||||
pose.PoseLandmark.LEFT_WRIST.value,
|
||||
pose.PoseLandmark.RIGHT_WRIST.value,
|
||||
pose.PoseLandmark.LEFT_HIP.value,
|
||||
pose.PoseLandmark.RIGHT_HIP.value,
|
||||
pose.PoseLandmark.LEFT_KNEE.value,
|
||||
pose.PoseLandmark.RIGHT_KNEE.value,
|
||||
pose.PoseLandmark.LEFT_ANKLE.value,
|
||||
pose.PoseLandmark.RIGHT_ANKLE.value,
|
||||
]
|
||||
|
||||
def parse_args(self):
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--front",
|
||||
dest="front_image",
|
||||
type=str,
|
||||
help="Front image")
|
||||
parser.add_argument("--side",
|
||||
dest="side_image",
|
||||
type=str,
|
||||
help="Side image")
|
||||
parser.add_argument(
|
||||
"--pose_detection_confidence",
|
||||
dest="pose_detection_confidence",
|
||||
default=0.5,
|
||||
type=float,
|
||||
help="Confidence score for pose detection",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--pose_tracking_confidence",
|
||||
dest="pose_tracking_confidence",
|
||||
default=0.5,
|
||||
type=float,
|
||||
help="Confidence score for pose tracking",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--person_height",
|
||||
default=153,
|
||||
dest="person_height",
|
||||
type=int,
|
||||
help="person height of person",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--pixel_height",
|
||||
default=255,
|
||||
dest="pixel_height",
|
||||
type=int,
|
||||
help="pixel height of person",
|
||||
)
|
||||
return parser.parse_args()
|
||||
|
||||
def run(self):
|
||||
|
||||
front_results = self.process_images()
|
||||
|
||||
self.get_center_top_point(front_results)
|
||||
|
||||
self.print_distance(front_results)
|
||||
|
||||
self.display_images()
|
||||
|
||||
self.pose.close()
|
||||
|
||||
def process_images(self):
|
||||
front_results = self.pose.process(
|
||||
cv2.cvtColor(self.front_image, cv2.COLOR_BGR2RGB))
|
||||
side_results = self.pose.process(
|
||||
cv2.cvtColor(self.side_image, cv2.COLOR_BGR2RGB))
|
||||
|
||||
self.side_image_keypoints = self.side_image.copy()
|
||||
self.front_image_keypoints = self.front_image.copy()
|
||||
|
||||
if front_results.pose_landmarks: # type: ignore
|
||||
self.draw_landmarks(
|
||||
self.front_image_keypoints,
|
||||
front_results.pose_landmarks, # type: ignore
|
||||
self.landmarks_indices,
|
||||
)
|
||||
if side_results.pose_landmarks: # type: ignore
|
||||
self.draw_landmarks(
|
||||
self.side_image_keypoints,
|
||||
side_results.pose_landmarks, # type: ignore# type: ignore
|
||||
self.landmarks_indices,
|
||||
)
|
||||
return front_results
|
||||
|
||||
def calculate_distance(self, landmark1, landmark2):
|
||||
l1 = landmark1.x, landmark1.y
|
||||
l1 = int(l1[0]), int(l1[1])
|
||||
x1, y1 = l1
|
||||
l2 = landmark2.x, landmark2.y
|
||||
l2 = int(l2[0]), int(l2[1])
|
||||
x2, y2 = l2
|
||||
pixel_distance = self.euclidean_distance(x1, x2, y1, y2)
|
||||
real_distance = pixel_distance * self.pixel_to_metric_ratio()
|
||||
return real_distance
|
||||
|
||||
def pixel_to_metric_ratio(self):
|
||||
pixel_to_metric_ratio = self.person_height / self.pixel_height
|
||||
return pixel_to_metric_ratio
|
||||
|
||||
def draw_landmarks(self, image, landmarks, indices):
|
||||
for idx in indices:
|
||||
landmark = landmarks.landmark[idx]
|
||||
h, w, _ = image.shape
|
||||
cx, cy = int(landmark.x * w), int(landmark.y * h)
|
||||
self.circle(image, cx, cy)
|
||||
|
||||
def circle(self, image, cx, cy):
|
||||
return cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1)
|
||||
|
||||
def print_distance(self, front_results):
|
||||
if not front_results.pose_landmarks:
|
||||
return
|
||||
|
||||
landmarks = front_results.pose_landmarks.landmark
|
||||
|
||||
shoulder_left = landmarks[pose.PoseLandmark.LEFT_SHOULDER.value]
|
||||
elbow_left = landmarks[pose.PoseLandmark.LEFT_ELBOW.value]
|
||||
wrist_left = landmarks[pose.PoseLandmark.LEFT_WRIST.value]
|
||||
hip_left = landmarks[pose.PoseLandmark.LEFT_HIP.value]
|
||||
knee_left = landmarks[pose.PoseLandmark.LEFT_KNEE.value]
|
||||
ankle_left = landmarks[pose.PoseLandmark.LEFT_ANKLE.value]
|
||||
|
||||
distance_left_hand_up = self.calculate_distance(
|
||||
shoulder_left, elbow_left)
|
||||
print("Distance between left shoulder and left elbow:",
|
||||
distance_left_hand_up)
|
||||
|
||||
distance_left_hand_down = self.calculate_distance(
|
||||
elbow_left, wrist_left)
|
||||
print("Distance between left elbow and left wrist:",
|
||||
distance_left_hand_down)
|
||||
|
||||
distance_left_leg_up = self.calculate_distance(hip_left, knee_left)
|
||||
print("Distance between left hip and left knee:", distance_left_leg_up)
|
||||
|
||||
distance_left_leg_down = self.calculate_distance(knee_left, ankle_left)
|
||||
print("Distance between left knee and left ankle:",
|
||||
distance_left_leg_down)
|
||||
|
||||
def euclidean_distance(self, x1, x2, y1, y2):
|
||||
distance = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
|
||||
return distance
|
||||
|
||||
def destroy(self):
|
||||
cv2.destroyAllWindows()
|
||||
|
||||
def display_images(self):
|
||||
cv2.imshow("front_image_keypoints", self.front_image_keypoints)
|
||||
cv2.imshow("side_image_keypoints", self.side_image_keypoints)
|
||||
cv2.waitKey(0)
|
||||
|
||||
def get_center_top_point(self, front_results):
|
||||
gray_image = cv2.cvtColor(self.front_image_keypoints,
|
||||
cv2.COLOR_BGR2GRAY)
|
||||
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
|
||||
roi = blurred_image[0:int(self.front_image.shape[0] / 2), :]
|
||||
edges = cv2.Canny(roi, 50, 150)
|
||||
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE,
|
||||
cv2.CHAIN_APPROX_SIMPLE)
|
||||
|
||||
self.topmost_point = None
|
||||
|
||||
outermost_contours = [
|
||||
contours[i] for i in range(len(contours))
|
||||
if hierarchy[0][i][3] == -1
|
||||
]
|
||||
if outermost_contours:
|
||||
largest_contour = max(outermost_contours, key=cv2.contourArea)
|
||||
self.topmost_point = tuple(
|
||||
largest_contour[largest_contour[:, :, 1].argmin()][0])
|
||||
topmost_point = (
|
||||
int(self.topmost_point[0] * self.front_image.shape[1]),
|
||||
int(self.topmost_point[1] * self.front_image.shape[0]),
|
||||
)
|
||||
cv2.circle(self.front_image_keypoints, topmost_point, 2,
|
||||
(255, 0, 0), -1)
|
||||
|
||||
self.left_hip_idx = 23
|
||||
self.right_hip_idx = 24
|
||||
|
||||
self.center_point = None
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
left_hip = front_results.pose_landmarks.landmark[self.left_hip_idx]
|
||||
right_hip = front_results.pose_landmarks.landmark[
|
||||
self.right_hip_idx]
|
||||
center_point = (
|
||||
(left_hip.x + right_hip.x) / 2,
|
||||
(left_hip.y + right_hip.y) / 2,
|
||||
)
|
||||
center_point = (
|
||||
int(center_point[0] * self.front_image.shape[1]),
|
||||
int(center_point[1] * self.front_image.shape[0]),
|
||||
)
|
||||
cv2.circle(self.front_image_keypoints, center_point, 2,
|
||||
(255, 0, 0), -1)
|
||||
#xc, yc = center_point
|
||||
#xt, yt = topmost_point
|
||||
#distance = self.euclidean_distance(xc, xt, yc, yt)
|
||||
# return distance
|
||||
return center_point
|
||||
|
||||
|
||||
def draw_landmarks(image, landmarks, indices):
|
||||
for idx in indices:
|
||||
landmark = landmarks.landmark[idx]
|
||||
h, w, _ = image.shape
|
||||
cx, cy = int(landmark.x * w), int(landmark.y * h)
|
||||
cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1)
|
||||
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
draw_landmarks(
|
||||
front_image_keypoints, front_results.pose_landmarks, landmark_indices
|
||||
)
|
||||
|
||||
if side_results.pose_landmarks:
|
||||
draw_landmarks(side_image_keypoints, side_results.pose_landmarks, landmark_indices)
|
||||
|
||||
h, w, _ = front_image_keypoints.shape
|
||||
height_cm = 150
|
||||
pixel_distance_height = 126.32 * 2
|
||||
pixel_to_metric_ratio = height_cm / pixel_distance_height
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
shoulder_left = front_results.pose_landmarks.landmark[11]
|
||||
elbow_left = front_results.pose_landmarks.landmark[13]
|
||||
distance_left_hand_up = calculate_distance(
|
||||
shoulder_left, elbow_left, pixel_to_metric_ratio
|
||||
)
|
||||
print("Distance between left shoulder and left elbow:", distance_left_hand_up)
|
||||
|
||||
elbow_left = front_results.pose_landmarks.landmark[13]
|
||||
wrist_left = front_results.pose_landmarks.landmark[15]
|
||||
distance_left_hand_down = calculate_distance(
|
||||
elbow_left, wrist_left, pixel_to_metric_ratio
|
||||
)
|
||||
print("Distance between left elbow and left wrist:", distance_left_hand_down)
|
||||
|
||||
hip_left = front_results.pose_landmarks.landmark[23]
|
||||
knee_left = front_results.pose_landmarks.landmark[25]
|
||||
distance_left_leg_up = calculate_distance(
|
||||
hip_left, knee_left, pixel_to_metric_ratio
|
||||
)
|
||||
print("Distance between left hip and left knee:", distance_left_leg_up)
|
||||
|
||||
knee_left = front_results.pose_landmarks.landmark[25]
|
||||
ankle_left = front_results.pose_landmarks.landmark[27]
|
||||
distance_left_leg_down = calculate_distance(
|
||||
knee_left, ankle_left, pixel_to_metric_ratio
|
||||
)
|
||||
print("Distance between left knee and left ankle:", distance_left_leg_down)
|
||||
|
||||
gray_image = cv2.cvtColor(front_image_keypoints, cv2.COLOR_BGR2GRAY)
|
||||
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
|
||||
roi = blurred_image[0 : int(resized_height / 2), :]
|
||||
edges = cv2.Canny(roi, 50, 150)
|
||||
|
||||
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
|
||||
|
||||
outermost_contours = [
|
||||
contours[i] for i in range(len(contours)) if hierarchy[0][i][3] == -1
|
||||
]
|
||||
|
||||
topmost_point = None
|
||||
if outermost_contours:
|
||||
largest_contour = max(outermost_contours, key=cv2.contourArea)
|
||||
topmost_point = tuple(largest_contour[largest_contour[:, :, 1].argmin()][0])
|
||||
topmost_point = (topmost_point[0], topmost_point[1])
|
||||
cv2.circle(front_image_keypoints, topmost_point, 2, (255, 0, 0), -1)
|
||||
|
||||
left_hip_idx = 23
|
||||
right_hip_idx = 24
|
||||
|
||||
center_point = None
|
||||
if front_results.pose_landmarks:
|
||||
left_hip = front_results.pose_landmarks.landmark[left_hip_idx]
|
||||
right_hip = front_results.pose_landmarks.landmark[right_hip_idx]
|
||||
center_point = ((left_hip.x + right_hip.x) / 2, (left_hip.y + right_hip.y) / 2)
|
||||
center_point = (
|
||||
int(center_point[0] * resized_width),
|
||||
int(center_point[1] * resized_height),
|
||||
)
|
||||
cv2.circle(front_image_keypoints, center_point, 2, (255, 0, 0), -1)
|
||||
|
||||
print("Pixel distance for height:", pixel_distance_height)
|
||||
print("Pixel-to-metric ratio:", pixel_to_metric_ratio)
|
||||
|
||||
cv2.imshow("front_img_keypoints", front_image_keypoints)
|
||||
cv2.imshow("side_img_keypoints", side_image_keypoints)
|
||||
|
||||
cv2.waitKey(0)
|
||||
cv2.destroyAllWindows()
|
||||
pose.close()
|
||||
l = Landmarker()
|
||||
try:
|
||||
l.run()
|
||||
except:
|
||||
print("error")
|
||||
finally:
|
||||
l.destroy()
|
||||
|
||||
210
temp.py
Normal file
210
temp.py
Normal file
@ -0,0 +1,210 @@
|
||||
import argparse
|
||||
import math
|
||||
import cv2
|
||||
import mediapipe as mp
|
||||
|
||||
|
||||
class Landmarker:
|
||||
|
||||
def __init__(self) -> None:
|
||||
args = self.parse_args()
|
||||
if args.front_image == None:
|
||||
raise Exception("front image needs to be passed")
|
||||
if args.side_image == None:
|
||||
raise Exception("side image needs to be passed")
|
||||
|
||||
self.front_image = cv2.imread(args.front_image)
|
||||
self.side_image = cv2.imread(args.side_image)
|
||||
|
||||
mp_pose = mp.solutions.pose
|
||||
self.pose = mp_pose.Pose(
|
||||
static_image_mode=True,
|
||||
min_detection_confidence=args.pose_detection_confidence,
|
||||
min_tracking_confidence=args.pose_tracking_confidence,
|
||||
)
|
||||
|
||||
self.resized_height = 256
|
||||
self.resized_width = int(
|
||||
self.front_image.shape[1] *
|
||||
(self.resized_height / self.front_image.shape[0]))
|
||||
|
||||
self.front_image_resized = cv2.resize(
|
||||
self.front_image, (self.resized_width, self.resized_height))
|
||||
self.side_image_resized = cv2.resize(
|
||||
self.side_image, (self.resized_width, self.resized_height))
|
||||
|
||||
self.landmarks_indices = [
|
||||
11, 12, 13, 14, 15, 16, 23, 24, 25, 26, 27, 28
|
||||
]
|
||||
|
||||
def parse_args(self):
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--front",
|
||||
dest="front_image",
|
||||
type=str,
|
||||
help="Front image")
|
||||
parser.add_argument("--side",
|
||||
dest="side_image",
|
||||
type=str,
|
||||
help="Side image")
|
||||
parser.add_argument("--pose_detection_confidence",
|
||||
deafult=0.5,
|
||||
dest="Pose detection confidence",
|
||||
type=float,
|
||||
help="Confidence score for pose detection")
|
||||
parser.add_argument("--pose_tracking_confidence",
|
||||
default=0.5,
|
||||
dest="Pose detection tracking",
|
||||
type=float,
|
||||
help="Confidence score for pose tracking")
|
||||
return parser.parse_args()
|
||||
|
||||
def run(self):
|
||||
front_results = self.pose.process(
|
||||
cv2.cvtColor(self.front_image_resized, cv2.COLOR_BGR2RGB))
|
||||
side_results = self.pose.process(
|
||||
cv2.cvtColor(self.side_image_resized, cv2.COLOR_BGR2RGB))
|
||||
|
||||
self.side_image_keypoints = self.side_image_resized.copy()
|
||||
self.front_image_keypoints = self.front_image_resized.copy()
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
self.draw_landmarks(
|
||||
self.front_image_keypoints,
|
||||
front_results.pose_landmarks,
|
||||
self.landmarks_indices,
|
||||
)
|
||||
if side_results.pose_landmarks:
|
||||
self.draw_landmarks(
|
||||
self.side_image_keypoints,
|
||||
side_results.pose_landmarks,
|
||||
self.landmarks_indices,
|
||||
)
|
||||
|
||||
self.get_center_top_point(front_results)
|
||||
|
||||
self.print_distance(front_results)
|
||||
|
||||
self.display_images()
|
||||
|
||||
self.pose.close()
|
||||
|
||||
def calculate_distance(self, landmark1, landmark2):
|
||||
l1 = landmark1.x, landmark1.y
|
||||
l1 = int(l1[0] * self.resized_width), int(l1[1] * self.resized_height)
|
||||
x1, y1 = l1
|
||||
l2 = landmark2.x, landmark2.y
|
||||
l2 = int(l2[0] * self.resized_width), int(l2[1] * self.resized_height)
|
||||
x2, y2 = l2
|
||||
pixel_distance = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
|
||||
real_distance = pixel_distance * self.pixel_to_metric_ratio()
|
||||
return real_distance
|
||||
|
||||
def pixel_to_metric_ratio(self):
|
||||
height_person = 153
|
||||
pixel_distance_height = 255
|
||||
pixel_to_metric_ratio = height_person / pixel_distance_height
|
||||
pixel_to_metric_ratio = round(pixel_to_metric_ratio)
|
||||
return pixel_to_metric_ratio
|
||||
|
||||
def draw_landmarks(self, image, landmarks, indices):
|
||||
for idx in indices:
|
||||
landmark = landmarks.landmark[idx]
|
||||
h, w, _ = image.shape
|
||||
cx, cy = int(landmark.x * w), int(landmark.y * h)
|
||||
cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1)
|
||||
|
||||
def print_distance(self, front_results):
|
||||
if not front_results.pose_landmarks:
|
||||
return
|
||||
|
||||
landmarks = front_results.pose_landmarks.landmark
|
||||
|
||||
shoulder_left = landmarks[11]
|
||||
elbow_left = landmarks[13]
|
||||
wrist_left = landmarks[15]
|
||||
hip_left = landmarks[23]
|
||||
knee_left = landmarks[25]
|
||||
ankle_left = landmarks[27]
|
||||
|
||||
distance_left_hand_up = self.calculate_distance(
|
||||
shoulder_left, elbow_left)
|
||||
print("Distance between left shoulder and left elbow:",
|
||||
distance_left_hand_up)
|
||||
|
||||
distance_left_hand_down = self.calculate_distance(
|
||||
elbow_left, wrist_left)
|
||||
print("Distance between left elbow and left wrist:",
|
||||
distance_left_hand_down)
|
||||
|
||||
distance_left_leg_up = self.calculate_distance(hip_left, knee_left)
|
||||
print("Distance between left hip and left knee:", distance_left_leg_up)
|
||||
|
||||
distance_left_leg_down = self.calculate_distance(knee_left, ankle_left)
|
||||
print("Distance between left knee and left ankle:",
|
||||
distance_left_leg_down)
|
||||
|
||||
def destroy():
|
||||
cv2.destroyAllWindows()
|
||||
|
||||
def display_images(self):
|
||||
cv2.imshow("front_image_keypoints", self.front_image_keypoints)
|
||||
cv2.imshow("side_image_keypoints", self.side_image_keypoints)
|
||||
|
||||
def get_center_top_point(self, front_results):
|
||||
gray_image = cv2.cvtColor(self.front_image_keypoints,
|
||||
cv2.COLOR_BGR2GRAY)
|
||||
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
|
||||
roi = blurred_image[0:int(self.resized_height / 2), :]
|
||||
edges = cv2.Canny(roi, 50, 150)
|
||||
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE,
|
||||
cv2.CHAIN_APPROX_SIMPLE)
|
||||
|
||||
self.topmost_point = None
|
||||
|
||||
outermost_contours = [
|
||||
contours[i] for i in range(len(contours))
|
||||
if hierarchy[0][i][3] == -1
|
||||
]
|
||||
if outermost_contours:
|
||||
largest_contour = max(outermost_contours, key=cv2.contourArea)
|
||||
self.topmost_point = tuple(
|
||||
largest_contour[largest_contour[:, :, 1].argmin()][0])
|
||||
# topmost_point = (int(topmost_point[0]*self.resized_width), int(topmost_point[1] * self.resized_height))
|
||||
topmost_point = (self.topmost_point[0], self.topmost_point[1])
|
||||
cv2.circle(self.front_image_keypoints, topmost_point, 2,
|
||||
(255, 0, 0), -1)
|
||||
|
||||
self.left_hip_idx = 23
|
||||
self.right_hip_idx = 24
|
||||
|
||||
self.center_point = None
|
||||
|
||||
if front_results.pose_landmarks:
|
||||
left_hip = front_results.pose_landmarks.landmark[self.left_hip_idx]
|
||||
right_hip = front_results.pose_landmarks.landmark[
|
||||
self.right_hip_idx]
|
||||
center_point = (
|
||||
(left_hip.x + right_hip.x) / 2,
|
||||
(left_hip.y + right_hip.y) / 2,
|
||||
)
|
||||
center_point = (
|
||||
int(center_point[0] * self.resized_width),
|
||||
int(center_point[1] * self.resized_height),
|
||||
)
|
||||
cv2.circle(self.front_image_keypoints, center_point, 2,
|
||||
(255, 0, 0), -1)
|
||||
xc, yc = center_point
|
||||
xt, yt = topmost_point
|
||||
distance = math.sqrt((xc - xt)**2 + (yc - yt)**2)
|
||||
#return distance
|
||||
return center_point
|
||||
|
||||
|
||||
l = Landmarker()
|
||||
try:
|
||||
l.run()
|
||||
except:
|
||||
pass
|
||||
finally:
|
||||
l.destroy()
|
||||
1
tmp/build-errors.log
Normal file
1
tmp/build-errors.log
Normal file
@ -0,0 +1 @@
|
||||
exit status 127
|
||||
Loading…
x
Reference in New Issue
Block a user