app deploy

app.py

@@ -17,16 +17,16 @@ def drawAxis(img, p_, q_, color, scale):
   # Here we lengthen the arrow by a factor of scale
   q[0] = p[0] - scale * hypotenuse/3 * cos(angle)
   q[1] = p[1] - scale * hypotenuse/3 * sin(angle)
-  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 3, cv2.LINE_AA)
+  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 4, cv2.LINE_AA)
  
   # create the arrow hooks
   p[0] = q[0] + 9 * cos(angle + pi / 4)
   p[1] = q[1] + 9 * sin(angle + pi / 4)
-  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 3, cv2.LINE_AA)
+  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 4, cv2.LINE_AA)
  
   p[0] = q[0] + 9 * cos(angle - pi / 4)
   p[1] = q[1] + 9 * sin(angle - pi / 4)
-  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 3, cv2.LINE_AA)
+  cv2.line(img, (int(p[0]), int(p[1])), (int(q[0]), int(q[1])), color, 4, cv2.LINE_AA)
   ## [visualization1]
  
 
@@ -52,17 +52,17 @@ def getOrientation(pts, img):
   cv2.circle(img, cntr, 3, (255, 0, 255), 15)
   p1 = (cntr[0] + 0.02 * eigenvectors[0,0] * eigenvalues[0,0], cntr[1] + 0.02 * eigenvectors[0,1] * eigenvalues[0,0])
   p2 = (cntr[0] - 0.02 * eigenvectors[1,0] * eigenvalues[1,0], cntr[1] - 0.02 * eigenvectors[1,1] * eigenvalues[1,0])
-  drawAxis(img, cntr, p1, (255, 255, 0), 1)
-  drawAxis(img, cntr, p2, (0, 0, 255), 3)
+  drawAxis(img, cntr, p1, (0, 0, 0), 1)
+  drawAxis(img, cntr, p2, (0, 0, 0), 3)
  
   angle = atan2(eigenvectors[0,1], eigenvectors[0,0]) # orientation in radians
   ## [visualization]
   angle_deg = -(int(np.rad2deg(angle))-180) % 180
  
-  # Label with the rotation angle
-  label = str(int(np.rad2deg(angle))) + " deg"
-  textbox = cv2.rectangle(img, (cntr[0]+60, cntr[1]-25), (cntr[0] + 150, cntr[1] + 10), (255,255,255), -1)
-  cv2.putText(img, label, (cntr[0]+60, cntr[1]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,0), 1, cv2.LINE_AA)
+#   # Label with the rotation angle
+#   label = str(int(np.rad2deg(angle))) + " deg"
+#   textbox = cv2.rectangle(img, (cntr[0]+60, cntr[1]-25), (cntr[0] + 150, cntr[1] + 10), (255,255,255), -1)
+#   cv2.putText(img, label, (cntr[0]+60, cntr[1]), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,0), 1, cv2.LINE_AA)
 
   return angle_deg
 
@@ -92,10 +92,11 @@ for i, url in enumerate(file_urls):
         )
 
 model = YOLO('best.pt')
-path  = [['image_0.jpg'], ['image_1.jpg']]
+path  = [['image_0.jpg'], ['image_1.jpg'], ['image_2.jpg']]
 video_path = [['video.mp4']]
 
 def show_preds_image(image_path):
+    global angle
     image = cv2.imread(image_path)
     #resize image (optional)
     img_res_toshow = cv2.resize(image, None, fx= 0.5, fy= 0.5, interpolation= cv2.INTER_LINEAR)
@@ -123,7 +124,7 @@ def show_preds_image(image_path):
             cv2.drawContours(img, contours, i, (0, 0, 255), 2)
             
             # Find the orientation of each shape
-            angle_deg = getOrientation(c, img)
+            angle = getOrientation(c, img)
 
     results = outputs[0].cpu().numpy()
     for i, det in enumerate(results.boxes.xyxy):
@@ -152,6 +153,16 @@ interface_image = gr.Interface(
     cache_examples=False,
 )
 
+def angle_deg():
+    global angle
+    return str(int(np.rad2deg(angle))) + " deg"
+
+
+interface_image = gr.Interface(
+    fn=angle_deg,
+    outputs='text',
+)
+
 def show_preds_video(video_path):
     cap = cv2.VideoCapture(video_path)
     while(cap.isOpened()):