adding app with CLIP image segmentation

app.py

@@ -29,6 +29,7 @@ def rescale_bbox(bbox,orig_image_shape=(1024,1024),model_shape=352):
     return [int(y1),int(x1),int(y2),int(x2)]
 
 def detect_using_clip(image,prompts=[],threshould=0.4):
+    h,w  = image.shape[:2]
     model_detections = dict()
     predicted_images = dict()
     inputs = processor(
@@ -49,8 +50,12 @@ def detect_using_clip(image,prompts=[],threshould=0.4):
         lbl_0 = label(predicted_image)
         props = regionprops(lbl_0)
         prompt = prompt.lower()
+        
         model_detections[prompt] = [rescale_bbox(prop.bbox,orig_image_shape=image.shape[:2],model_shape=predicted_image.shape[0]) for prop in props]
-        predicted_images[prompt]= cv2.resize(predicted_image,image.shape[:2])
+        a = np.expand_dims(predicted_image,axis=-1)
+        print(a.shape,image.shape[:2])
+        predicted_images[prompt]= cv2.resize(np.expand_dims(predicted_image,axis=-1),(h,w),interpolation = cv2.INTER_LINEAR)
+
     return model_detections , predicted_images
 
 def visualize_images(image,detections,predicted_image,prompt):