From 4518cc7e1262f41686bb1f5ac914c0f0c7595109 Mon Sep 17 00:00:00 2001 From: Aparna Hatte Date: Mon, 17 Jun 2024 10:58:39 +0530 Subject: [PATCH] update code --- LICENSE | 675 +++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 329 +++++++++++++++++++++++++ backup.py | 273 +++++++++++++++++++++ landmarks.py | 136 +++++++---- 4 files changed, 1360 insertions(+), 53 deletions(-) create mode 100644 LICENSE create mode 100644 README.md create mode 100644 backup.py diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..733c072 --- /dev/null +++ b/LICENSE @@ -0,0 +1,675 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +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 +. + + 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 +. + diff --git a/README.md b/README.md new file mode 100644 index 0000000..59ad8a0 --- /dev/null +++ b/README.md @@ -0,0 +1,329 @@ +# :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&utm_medium=referral&utm_content=air-verse/air&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 "" \ + -e "air_wd=" \ + -v $(pwd): \ + -p : \ + cosmtrek/air + -c +``` + +#### Docker/Podman .${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 "$@" +} +``` + +`` is your project path in container, eg: /go/example +if you want to enter the container, Please add --entrypoint=bash. + +
+ For example + +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 + +
+ +## 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: + - : + 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 `` tag +* Activate the proxy by configuring the following config: + +```toml +[proxy] + enabled = true + proxy_port = + app_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:/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) diff --git a/backup.py b/backup.py new file mode 100644 index 0000000..be444e7 --- /dev/null +++ b/backup.py @@ -0,0 +1,273 @@ +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() diff --git a/landmarks.py b/landmarks.py index 61d4780..be444e7 100644 --- a/landmarks.py +++ b/landmarks.py @@ -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 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: @@ -16,6 +29,11 @@ class Landmarker: 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 @@ -82,11 +100,17 @@ class Landmarker: 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.print_distance(front_results) + self.calculate_distance_betn_landmarks(front_results) + + self.print_distance() self.display_images() @@ -94,12 +118,12 @@ class Landmarker: def process_images(self): 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( - 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.front_image_keypoints = self.front_image.copy() + 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( @@ -117,10 +141,10 @@ class Landmarker: def calculate_distance(self, landmark1, landmark2): 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 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 pixel_distance = self.euclidean_distance(x1, x2, y1, y2) real_distance = pixel_distance * self.pixel_to_metric_ratio() @@ -128,6 +152,7 @@ class Landmarker: 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): @@ -140,7 +165,26 @@ class Landmarker: def circle(self, image, cx, cy): 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: return @@ -153,22 +197,17 @@ class Landmarker: knee_left = landmarks[pose.PoseLandmark.LEFT_KNEE.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) - 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) - 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) + self.distance_left_leg_up = self.calculate_distance( + hip_left, knee_left) - distance_left_leg_down = self.calculate_distance(knee_left, ankle_left) - print("Distance between left knee and left ankle:", - distance_left_leg_down) + 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) @@ -180,58 +219,49 @@ class Landmarker: 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.shape[0] / 2), :] - edges = cv2.Canny(roi, 50, 150) - contours, hierarchy = cv2.findContours(edges, cv2.RETR_TREE, - cv2.CHAIN_APPROX_SIMPLE) - + 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 - 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) + if contours: + largest_contour = max(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 + 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 = front_results.pose_landmarks.landmark[self.left_hip_idx] - right_hip = front_results.pose_landmarks.landmark[ - self.right_hip_idx] + 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.shape[1]), - int(center_point[1] * self.front_image.shape[0]), + int(center_point[0] * self.front_image_resized.shape[1]), + int(center_point[1] * self.front_image_resized.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 + 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()