From 360c312eaf97da52021548f0ea76aefdb463cd61 Mon Sep 17 00:00:00 2001 From: nicorossini Date: Wed, 24 Jan 2024 15:51:31 +0100 Subject: [PATCH 1/2] Machine Learning algorithm completed --- ImageRecognition/src/ObjectDetectionYOLO.py | 28 +++++++++++---------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/ImageRecognition/src/ObjectDetectionYOLO.py b/ImageRecognition/src/ObjectDetectionYOLO.py index cf69984..42b3095 100644 --- a/ImageRecognition/src/ObjectDetectionYOLO.py +++ b/ImageRecognition/src/ObjectDetectionYOLO.py @@ -30,18 +30,21 @@ cam8 = 'rtsp://192.168.1.41:80/ch7_0.264' -TOKEN = '6929905186:AAEouI3G2sbfS-y6ZzkXrpNgPQRAPs5_v-g' -channel_id = '792557360' last_sent_image = None -def post_request(image): +def post_request(image, camera_id, status): global last_sent_image - apiURL = f"https://api.telegram.org/bot{TOKEN}/sendPhoto?chat_id={channel_id}" + url = 'http://localhost:8080' + + data = { + 'id': camera_id, + 'status': status, + } if last_sent_image is None: last_sent_image = image try: - response = requests.post(apiURL, files={'photo': image}) + response = requests.post(url, data=data, files={'file': (image, 'image/jpeg')}) print("Status code is: ", response.status_code) except requests.exceptions.RequestException as e: print("There was an exception that occurred while handling your request.", e) @@ -59,7 +62,7 @@ def post_request(image): print("MEAN SQUARED ERROR is: ", mse) if mse > 105.85: try: - response = requests.post(apiURL, files={'photo': image}) + response = requests.post(url, data=data, files={'file': (image, 'image/jpeg')}) print("Status code is: ", response.status_code) if response.status_code == 200: @@ -73,16 +76,17 @@ def post_request(image): #filename = url of cam #file_index = index of the file that can be assigned to each thread. cam1 has file_index as 1, cam2 has file_index as 2... def detection(filename, file_index): - cap = cv2.VideoCapture(filename) # Read the video file + cap = cv2.VideoCapture(filename) global last_sent_image + status = 'offline' while cap.isOpened(): success, img = cap.read() - # Exit the loop if no more frames in either video if not success: break + status = 'online' results = model(img, stream = True, classes = 0, conf=0.5) foundPerson = False #coordinates @@ -91,8 +95,7 @@ def detection(filename, file_index): for box in boxes: #bounding box x1, y1, x2, y2 = box.xyxy[0] - x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2) # convert to int values - # put box in cam + x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2) cv2.rectangle(img, (x1, y1), (x2, y2), (255, 0, 255), 3) # confidence confidence = math.ceil((box.conf[0]*100))/100 @@ -105,14 +108,13 @@ def detection(filename, file_index): if(foundPerson): _, img_encoded = cv2.imencode('.jpg', img) - post_request(img_encoded) + post_request(img_encoded, file_index, status) cap.release() -#initialize thread detect_thread1 = threading.Thread(target=detection, args=(cam1, 1), daemon=True) @@ -145,7 +147,7 @@ def detection(filename, file_index): args=(cam8, 8), daemon=True) -#start thread + detect_thread1.start() detect_thread2.start() detect_thread3.start() From c505eb90a977195a74776a32cb54cc505a2a288f Mon Sep 17 00:00:00 2001 From: nicorossini Date: Thu, 25 Jan 2024 09:58:19 +0100 Subject: [PATCH 2/2] README file --- ImageRecognition/README.md | 24 ++++++++++++++++++++++++ ImageRecognition/requirements.txt | 3 ++- ImageRecognition/send_frame.py | 3 +-- 3 files changed, 27 insertions(+), 3 deletions(-) create mode 100644 ImageRecognition/README.md diff --git a/ImageRecognition/README.md b/ImageRecognition/README.md new file mode 100644 index 0000000..ba06a19 --- /dev/null +++ b/ImageRecognition/README.md @@ -0,0 +1,24 @@ +## Technology +

+ Ultralytics Yolo +

+ +Ultralytics YOLO for building accurate and efficient object detection models. + +## Running the app +First, open the terminal and move to the ImageRecognition directiory. +Run send_frame.py for sending camera frames: + +```bash +python send_frame.py +``` + +To start the object detection function move to the src directory and run ObjectDetectionYOLO.py: + +```bash +python ObjectDetectionYOLO.py +``` + +## Learn More +To learn more about YOLO architecture, take a look at the following resource: +- [YOLO Documentation](https://docs.ultralytics.com). diff --git a/ImageRecognition/requirements.txt b/ImageRecognition/requirements.txt index 248c2ec..0113573 100644 --- a/ImageRecognition/requirements.txt +++ b/ImageRecognition/requirements.txt @@ -1,4 +1,5 @@ opencv-python~=4.8.1.78 numpy~=1.26.1 ping3~=4.0.4 -ffmpeg-python~=0.2.0 \ No newline at end of file +python>=3.8 +PyTorch>=1.8 \ No newline at end of file diff --git a/ImageRecognition/send_frame.py b/ImageRecognition/send_frame.py index ec68298..8a9f135 100644 --- a/ImageRecognition/send_frame.py +++ b/ImageRecognition/send_frame.py @@ -1,6 +1,5 @@ import cv2 import socketio -import base64 import threading #cameras data @@ -40,7 +39,7 @@ def send_frames(camera_id, capture, interval=0.1): for camera_id, camera_url in cameras.items(): capture = cv2.VideoCapture(camera_url) if not capture.isOpened(): - print(f"Errore nell'apertura della telecamera {camera_id}") + print(f"Error stream with camera {camera_id}") continue threading.Thread(target=send_frames, args=(camera_id, capture)).start()