adding application for CLIP model detection

app.py

@@ -6,12 +6,13 @@ import numpy as np
 from PIL import Image
 import torch 
 import cv2 
-from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
+from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation,AutoProcessor
 from skimage.measure import label, regionprops
 
 processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
 model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined")
 
+
 random_images = []
 images_dir = 'random/images/'
 for idx, images in enumerate(os.listdir(images_dir)):
@@ -61,7 +62,9 @@ def display_images(image,detections,prompt='traffic light'):
 
 def shot(image, labels_text):
     prompts = labels_text.split(',')
-    print(prompts)
+    global
+    classes = prompts
+    print(classes)
     detections  = detect_using_clip(image,prompts=prompts)
     print(detections)
     return 0