75_Syntax-Squad-001

README.dataset.txt

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+# e_commerce_gun_detection > weapons_version
+https://universe.roboflow.com/melody-nyea3/e_commerce_gun_detection
+
+Provided by a Roboflow user
+License: CC BY 4.0
+

README.roboflow.txt

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+
+e_commerce_gun_detection - v5 weapons_version
+==============================
+
+This dataset was exported via roboflow.com on February 21, 2025 at 7:33 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 9646 images.
+Gun are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 640x640 (Stretch)
+
+No image augmentation techniques were applied.
+
+

data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 1
+names: ['weapon']
+
+roboflow:
+  workspace: melody-nyea3
+  project: e_commerce_gun_detection
+  version: 5
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/melody-nyea3/e_commerce_gun_detection/dataset/5

live_detection.py

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+import torch
+import sys
+import cv2
+
+try:
+    from ultralytics import YOLO
+    print("loading yolOv8")
+
+    model = YOLO('runs/detect/train/weights/best.pt')
+    print("conf. threshold=50%")
+    model.predict(source=0, show=True, conf=0.55)
+except Exception as e:
+    print(f"YOLOv8 failed=error: {e}")
+    print("Attempting to load YOLOv5 instead")
+
+    try:
+        import os
+        if not os.path.exists("yolov5"):
+            print("Cloning yolov5 repo")
+            os.system("git clone https://github.com/ultralytics/yolov5.git")
+
+        os.system("pip install -r yolov5/requirements.txt")
+
+        print("Running yoloV5 live with conf. threshold = 50%")
+        os.system("python yolov5/detect.py --weights runs/detect/train/weights/best.pt --source 0 --conf 0.5 --save")
+
+    except Exception as e2:
+        print(f"yoloV5 failed {e2}")
+        sys.exit("ErRor")

tempCodeRunnerFile.py

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+import torch
+import sys
+import cv2
+
+try:
+    from ultralytics import YOLO
+    print("loadimg YOLOv8")
+    model = YOLO('runs/detect/train/weights/best.pt')
+
+    print("Running YOLOV8 live detection")
+    model.predict(source=0, show=True)  
+
+except Exception as e:
+    print(f"YOLOv8 failed with error: {e}")
+    print("Attempting to load YOLOv5 instead")
+
+    try:
+        import os
+        if not os.path.exists("yolov5"):
+            print("Cloning YOLOv5 repository")
+            os.system("git clone https://github.com/ultralytics/yolov5.git")
+
+        os.system("pip install -r yolov5/requirements.txt")
+
+        print("Running YOLOv5 live detection...")
+        os.system("python yolov5/detect.py --weights runs/detect/train/weights/best.pt --source 0 --save")
+
+    except Exception as e2:
+        print(f"YOLOv5 also failed with error: {e2}")
+        sys.exit("Error: Both YOLOv8 and YOLOv5 failed. check setup.")