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GNU GENERAL PUBLIC LICENSE
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# :cloud: Air - Live reload for Go apps
[![Go](https://github.com/air-verse/air/actions/workflows/release.yml/badge.svg)](https://github.com/air-verse/air/actions?query=workflow%3AGo+branch%3Amaster) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/dcb95264cc504cad9c2a3d8b0795a7f8)](https://www.codacy.com/gh/air-verse/air/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=air-verse/air&amp;utm_campaign=Badge_Grade) [![Go Report Card](https://goreportcard.com/badge/github.com/air-verse/air)](https://goreportcard.com/report/github.com/air-verse/air) [![codecov](https://codecov.io/gh/air-verse/air/branch/master/graph/badge.svg)](https://codecov.io/gh/air-verse/air)
![air](docs/air.png)
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
[![Star History Chart](https://api.star-history.com/svg?repos=air-verse/air&type=Date)](https://star-history.com/#air-verse/air&Date)
## Sponsor
[![Buy Me A Coffee](https://cdn.buymeacoffee.com/buttons/default-orange.png)](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)

273
backup.py Normal file
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import warnings
import os
warnings.filterwarnings("ignore",
category=UserWarning,
module="google.protobuf")
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import argparse
import math
import cv2
from mediapipe.python.solutions import pose
import logging
class Landmarker:
resized_height = 256
resized_width = 300
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.front_image_resized = cv2.resize(
self.front_image, (self.resized_height, self.resized_width))
self.side_image_resized = cv2.resize(
self.side_image, (self.resized_height, self.resized_width))
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):
logging.warning("person's height: ", self.person_height)
logging.warning("person's pixel height: ", self.pixel_height)
front_results = self.process_images()
self.get_center_top_point(front_results)
self.calculate_distance_betn_landmarks(front_results)
self.print_distance()
self.display_images()
self.pose.close()
def process_images(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: # 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] * self.resized_height), int(l1[1] * self.resized_width)
x1, y1 = l1
l2 = landmark2.x, landmark2.y
l2 = int(l2[0] * self.resized_height), int(l2[1] * self.resized_width)
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
logging.warning("pixel_to_metric_ratio", 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)
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):
print(
"Distance between left shoulder and left elbow:",
self.distance_left_hand_up,
)
print(
"Distance between left elbow and left wrist:",
self.distance_left_hand_down,
)
print("Distance between left hip and left knee:",
self.distance_left_leg_up)
print("Distance between left knee and left ankle:",
self.distance_left_leg_down)
print("Distance between center and top point:", self.distance)
def calculate_distance_betn_landmarks(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]
self.distance_left_hand_up = self.calculate_distance(
shoulder_left, elbow_left)
self.distance_left_hand_down = self.calculate_distance(
elbow_left, wrist_left)
self.distance_left_leg_up = self.calculate_distance(
hip_left, knee_left)
self.distance_left_leg_down = self.calculate_distance(
knee_left, ankle_left)
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.imshow("edges", self.edges)
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_resized.shape[0] / 2), :]
self.edges = cv2.Canny(roi, 50, 150)
contours, _ = cv2.findContours(self.edges, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
xt, yt = None, None
self.topmost_point = None
if contours:
largest_contour = max(contours, key=cv2.contourArea)
self.topmost_point = tuple(
largest_contour[largest_contour[:, :, 1].argmin()][0])
xt, yt = self.topmost_point
self.circle(self.front_image_keypoints, xt, yt)
xc, yc = None, None
landmarks = front_results.pose_landmarks.landmark
if front_results.pose_landmarks:
left_hip = landmarks[pose.PoseLandmark.LEFT_HIP.value]
right_hip = landmarks[pose.PoseLandmark.RIGHT_HIP.value]
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_resized.shape[1]),
int(center_point[1] * self.front_image_resized.shape[0]),
)
xc, yc = center_point
logging.warning(f"xc: {xc}")
logging.warning(f"yc: {yc}")
self.circle(self.front_image_keypoints, xc, yc)
self.distance = self.euclidean_distance(
xc, xt, yc, yt) * self.pixel_to_metric_ratio()
return self.distance
l = Landmarker()
try:
l.run()
except:
print("error")
finally:
l.destroy()

134
landmarks.py
View File

@ -1,11 +1,24 @@
import warnings
import os
warnings.filterwarnings("ignore",
category=UserWarning,
module="google.protobuf")
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import argparse import argparse
import math import math
import cv2 import cv2
from mediapipe.python.solutions import pose from mediapipe.python.solutions import pose
import logging
class Landmarker: class Landmarker:
resized_height = 256
resized_width = 300
def __init__(self) -> None: def __init__(self) -> None:
args = self.parse_args() args = self.parse_args()
if args.front_image == None: if args.front_image == None:
@ -16,6 +29,11 @@ class Landmarker:
self.front_image = cv2.imread(args.front_image) self.front_image = cv2.imread(args.front_image)
self.side_image = cv2.imread(args.side_image) self.side_image = cv2.imread(args.side_image)
self.front_image_resized = cv2.resize(
self.front_image, (self.resized_height, self.resized_width))
self.side_image_resized = cv2.resize(
self.side_image, (self.resized_height, self.resized_width))
self.person_height = args.person_height self.person_height = args.person_height
self.pixel_height = args.pixel_height self.pixel_height = args.pixel_height
@ -82,11 +100,17 @@ class Landmarker:
def run(self): def run(self):
logging.warning("person's height: ", self.person_height)
logging.warning("person's pixel height: ", self.pixel_height)
front_results = self.process_images() front_results = self.process_images()
self.get_center_top_point(front_results) self.get_center_top_point(front_results)
self.print_distance(front_results) self.calculate_distance_betn_landmarks(front_results)
self.print_distance()
self.display_images() self.display_images()
@ -94,12 +118,12 @@ class Landmarker:
def process_images(self): def process_images(self):
front_results = self.pose.process( front_results = self.pose.process(
cv2.cvtColor(self.front_image, cv2.COLOR_BGR2RGB)) cv2.cvtColor(self.front_image_resized, cv2.COLOR_BGR2RGB))
side_results = self.pose.process( side_results = self.pose.process(
cv2.cvtColor(self.side_image, cv2.COLOR_BGR2RGB)) cv2.cvtColor(self.side_image_resized, cv2.COLOR_BGR2RGB))
self.side_image_keypoints = self.side_image.copy() self.side_image_keypoints = self.side_image_resized.copy()
self.front_image_keypoints = self.front_image.copy() self.front_image_keypoints = self.front_image_resized.copy()
if front_results.pose_landmarks: # type: ignore if front_results.pose_landmarks: # type: ignore
self.draw_landmarks( self.draw_landmarks(
@ -117,10 +141,10 @@ class Landmarker:
def calculate_distance(self, landmark1, landmark2): def calculate_distance(self, landmark1, landmark2):
l1 = landmark1.x, landmark1.y l1 = landmark1.x, landmark1.y
l1 = int(l1[0]), int(l1[1]) l1 = int(l1[0] * self.resized_height), int(l1[1] * self.resized_width)
x1, y1 = l1 x1, y1 = l1
l2 = landmark2.x, landmark2.y l2 = landmark2.x, landmark2.y
l2 = int(l2[0]), int(l2[1]) l2 = int(l2[0] * self.resized_height), int(l2[1] * self.resized_width)
x2, y2 = l2 x2, y2 = l2
pixel_distance = self.euclidean_distance(x1, x2, y1, y2) pixel_distance = self.euclidean_distance(x1, x2, y1, y2)
real_distance = pixel_distance * self.pixel_to_metric_ratio() real_distance = pixel_distance * self.pixel_to_metric_ratio()
@ -128,6 +152,7 @@ class Landmarker:
def pixel_to_metric_ratio(self): def pixel_to_metric_ratio(self):
pixel_to_metric_ratio = self.person_height / self.pixel_height pixel_to_metric_ratio = self.person_height / self.pixel_height
logging.warning("pixel_to_metric_ratio", pixel_to_metric_ratio)
return pixel_to_metric_ratio return pixel_to_metric_ratio
def draw_landmarks(self, image, landmarks, indices): def draw_landmarks(self, image, landmarks, indices):
@ -140,7 +165,26 @@ class Landmarker:
def circle(self, image, cx, cy): def circle(self, image, cx, cy):
return cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1) return cv2.circle(image, (cx, cy), 2, (255, 0, 0), -1)
def print_distance(self, front_results): def print_distance(self):
print(
"Distance between left shoulder and left elbow:",
self.distance_left_hand_up,
)
print(
"Distance between left elbow and left wrist:",
self.distance_left_hand_down,
)
print("Distance between left hip and left knee:",
self.distance_left_leg_up)
print("Distance between left knee and left ankle:",
self.distance_left_leg_down)
print("Distance between center and top point:", self.distance)
def calculate_distance_betn_landmarks(self, front_results):
if not front_results.pose_landmarks: if not front_results.pose_landmarks:
return return
@ -153,22 +197,17 @@ class Landmarker:
knee_left = landmarks[pose.PoseLandmark.LEFT_KNEE.value] knee_left = landmarks[pose.PoseLandmark.LEFT_KNEE.value]
ankle_left = landmarks[pose.PoseLandmark.LEFT_ANKLE.value] ankle_left = landmarks[pose.PoseLandmark.LEFT_ANKLE.value]
distance_left_hand_up = self.calculate_distance( self.distance_left_hand_up = self.calculate_distance(
shoulder_left, elbow_left) shoulder_left, elbow_left)
print("Distance between left shoulder and left elbow:",
distance_left_hand_up)
distance_left_hand_down = self.calculate_distance( self.distance_left_hand_down = self.calculate_distance(
elbow_left, wrist_left) 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) self.distance_left_leg_up = self.calculate_distance(
print("Distance between left hip and left knee:", distance_left_leg_up) hip_left, knee_left)
distance_left_leg_down = self.calculate_distance(knee_left, ankle_left) self.distance_left_leg_down = self.calculate_distance(
print("Distance between left knee and left ankle:", knee_left, ankle_left)
distance_left_leg_down)
def euclidean_distance(self, x1, x2, y1, y2): def euclidean_distance(self, x1, x2, y1, y2):
distance = math.sqrt((x2 - x1)**2 + (y2 - y1)**2) distance = math.sqrt((x2 - x1)**2 + (y2 - y1)**2)
@ -180,58 +219,49 @@ class Landmarker:
def display_images(self): def display_images(self):
cv2.imshow("front_image_keypoints", self.front_image_keypoints) cv2.imshow("front_image_keypoints", self.front_image_keypoints)
cv2.imshow("side_image_keypoints", self.side_image_keypoints) cv2.imshow("side_image_keypoints", self.side_image_keypoints)
cv2.imshow("edges", self.edges)
cv2.waitKey(0) cv2.waitKey(0)
def get_center_top_point(self, front_results): def get_center_top_point(self, front_results):
gray_image = cv2.cvtColor(self.front_image_keypoints, gray_image = cv2.cvtColor(self.front_image_keypoints,
cv2.COLOR_BGR2GRAY) cv2.COLOR_BGR2GRAY)
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0) blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)
roi = blurred_image[0:int(self.front_image.shape[0] / 2), :] roi = blurred_image[0:int(self.front_image_resized.shape[0] / 2), :]
edges = cv2.Canny(roi, 50, 150) self.edges = cv2.Canny(roi, 50, 150)
contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, contours, _ = cv2.findContours(self.edges, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE) cv2.CHAIN_APPROX_SIMPLE)
xt, yt = None, None
self.topmost_point = None self.topmost_point = None
outermost_contours = [ if contours:
contours[i] for i in range(len(contours)) largest_contour = max(contours, key=cv2.contourArea)
if hierarchy[0][i][3] == -1
]
if outermost_contours:
largest_contour = max(outermost_contours, key=cv2.contourArea)
self.topmost_point = tuple( self.topmost_point = tuple(
largest_contour[largest_contour[:, :, 1].argmin()][0]) largest_contour[largest_contour[:, :, 1].argmin()][0])
topmost_point = ( xt, yt = self.topmost_point
int(self.topmost_point[0] * self.front_image.shape[1]), self.circle(self.front_image_keypoints, xt, yt)
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
xc, yc = None, None
landmarks = front_results.pose_landmarks.landmark
if front_results.pose_landmarks: if front_results.pose_landmarks:
left_hip = front_results.pose_landmarks.landmark[self.left_hip_idx] left_hip = landmarks[pose.PoseLandmark.LEFT_HIP.value]
right_hip = front_results.pose_landmarks.landmark[ right_hip = landmarks[pose.PoseLandmark.RIGHT_HIP.value]
self.right_hip_idx]
center_point = ( center_point = (
(left_hip.x + right_hip.x) / 2, (left_hip.x + right_hip.x) / 2,
(left_hip.y + right_hip.y) / 2, (left_hip.y + right_hip.y) / 2,
) )
center_point = ( center_point = (
int(center_point[0] * self.front_image.shape[1]), int(center_point[0] * self.front_image_resized.shape[1]),
int(center_point[1] * self.front_image.shape[0]), int(center_point[1] * self.front_image_resized.shape[0]),
) )
cv2.circle(self.front_image_keypoints, center_point, 2, xc, yc = center_point
(255, 0, 0), -1) logging.warning(f"xc: {xc}")
#xc, yc = center_point logging.warning(f"yc: {yc}")
#xt, yt = topmost_point self.circle(self.front_image_keypoints, xc, yc)
#distance = self.euclidean_distance(xc, xt, yc, yt)
# return distance self.distance = self.euclidean_distance(
return center_point xc, xt, yc, yt) * self.pixel_to_metric_ratio()
return self.distance
l = Landmarker() l = Landmarker()