Update app.py

app.py

@@ -2,9 +2,9 @@ import gradio as gr
 import cv2
 import requests
 import os
-
 from ultralytics import YOLO
 
+# ------
 file_urls = [
     'https://i.imgur.com/wgZzKIk.jpg',
     'https://i.imgur.com/TvIo0Nq.jpg'
@@ -27,27 +27,20 @@ for i, url in enumerate(file_urls):
             file_urls[i],
             f"image_{i}.jpg"
         )
-
+# ------
 model = YOLO('crack.pt')
 path  = [['image_0.jpg'], ['image_1.jpg']]
 video_path = [['video.mp4']]
-
-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)
-
+# ------
+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
+    
+# ------
 inputs_image = [
     gr.components.Image(type="filepath", label="Input Image"),
 ]
@@ -62,41 +55,7 @@ interface_image = gr.Interface(
     examples=path,
     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],