Update app.py

app.py

@@ -8,16 +8,6 @@ color_search = np.zeros((200, 200, 3), np.uint8)
 color_selected = np.zeros((200, 200, 3), np.uint8)
 hue = 0
 
-def select_color(event, x, y, flags, param):
-    global hue
-    B = frame[y, x][0]
-    G = frame[y, x][1]
-    R = frame[y, x][2]
-    color_search[:] = (B, G, R)
-    if event == cv2.EVENT_LBUTTONDOWN:
-        color_selected[:] = (B, G, R)
-        hue = hsv[y, x][0]
-
 def search_contours(mask, frame, source):
     contours_count = 0
     contours, hierarchy = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
@@ -38,16 +28,6 @@ def search_contours(mask, frame, source):
             cv2.putText(frame, str(pip_count), (cX - 16, cY + 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1)
     return pip_count, frame
 
-def center_crop_with_padding(image):
-    im = Image.fromarray(image)
-    width, height = im.size
-    new_size = min(width, height)
-    im = im.crop(((width - new_size) // 2, (height - new_size) // 2, (width + new_size) // 2, (height + new_size) // 2))
-    im = im.crop((25, 25, new_size - 25, new_size - 25))
-    im_with_border = ImageOps.expand(im, border=3, fill=(255,255,255))
-    return np.array(im_with_border)
-
-
 def detect_pips_uploaded(uploaded_image, hue_threshold):
     if uploaded_image is None:
         return None
@@ -63,8 +43,6 @@ def detect_pips_uploaded(uploaded_image, hue_threshold):
     upper_hsv = np.array([upper_hue, 255, 255])
     mask = cv2.inRange(hsv, lower_hsv, upper_hsv)
     count, result_frame = search_contours(mask, image, source="image")
-    #cv2.putText(result_frame, f'Total pip count is: {count}', (10, result_frame.shape[0] - 30), font, font_scale*1.015, (0, 0, 0), 2, cv2.LINE_AA)
-    #cv2.putText(result_frame, f'Total pip count is: {count}', (10, result_frame.shape[0] - 30), font, 1, (0, 0, 255), 3, cv2.LINE_AA)
     cv2.putText(result_frame, f'Total pip count is: {count}', (10, result_frame.shape[0] - 30), font, 1, (0, 255, 255), 2, cv2.LINE_AA)
     return result_frame
 
@@ -84,3 +62,4 @@ iface_uploaded = gr.Interface(fn=detect_pips_uploaded,
 )
 
 iface_uploaded.launch()
+