Update app.py

app.py

@@ -28,20 +28,26 @@ for i, url in enumerate(file_urls):
             f"image_{i}.jpg"
         )
 
-# model = YOLO('crack.pt')
+model = YOLO('crack.pt')
 path  = [['image_0.jpg'], ['image_1.jpg']]
 video_path = [['video.mp4']]
 
-def show_preds_image(source):
-    global model
-    res = model(source, conf=.5, iou=.5)
-    res_plotted = res[0].plot()
-    # converting BGR to RGB
-    result = cv2.cvtColor(res_plotted, cv2.COLOR_BGR2RGB)
-    return result
-    
-model = YOLO("crack.pt") # Select YOLO model
-    
+def show_preds_image(image_path):
+    image = cv2.imread(image_path)
+    outputs = model.predict(source=image_path)
+    results.plot(conf=True, boxes=False, masks=True)
+    results = outputs[0].cpu().numpy()
+    for i, det in enumerate(results.boxes.xyxy):
+        cv2.rectangle(
+            image,
+            (int(det[0]), int(det[1])),
+            (int(det[2]), int(det[3])),
+            color=(0, 0, 255),
+            thickness=2,
+            lineType=cv2.LINE_AA
+        )
+    return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+
 inputs_image = [
     gr.components.Image(type="filepath", label="Input Image"),
 ]
@@ -57,6 +63,40 @@ interface_image = gr.Interface(
     cache_examples=False,
 )
 
+# def show_preds_video(video_path):
+#     cap = cv2.VideoCapture(video_path)
+#     while(cap.isOpened()):
+#         ret, frame = cap.read()
+#         if ret:
+#             frame_copy = frame.copy()
+#             outputs = model.predict(source=frame)
+#             results = outputs[0].cpu().numpy()
+#             for i, det in enumerate(results.boxes.xyxy):
+#                 cv2.rectangle(
+#                     frame_copy,
+#                     (int(det[0]), int(det[1])),
+#                     (int(det[2]), int(det[3])),
+#                     color=(0, 0, 255),
+#                     thickness=2,
+#                     lineType=cv2.LINE_AA
+#                 )
+#             yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
+
+# inputs_video = [
+#     gr.components.Video(type="filepath", label="Input Video"),
+
+# ]
+# outputs_video = [
+#     gr.components.Image(type="numpy", label="Output Image"),
+# ]
+# interface_video = gr.Interface(
+#     fn=show_preds_video,
+#     inputs=inputs_video,
+#     outputs=outputs_video,
+#     title="Pothole detector",
+#     examples=video_path,
+#     cache_examples=False,
+# )
 
 gr.TabbedInterface(
     [interface_image],