YACWC

search_me.py

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+do_load = True
+from qdrant_client import QdrantClient
+import numpy as np
+from bottle import route, run, template, request, debug
+# %%
+if do_load:
+    from lavis.models import load_model_and_preprocess, model_zoo
+    import torch
+    device = 'cpu'
+    model, vis_processors, txt_processors = load_model_and_preprocess("clip_feature_extractor", model_type="ViT-B-16", is_eval=True, device=device)
+    model.eval()
+    collection_name="nuggets_clip"
+
+# %%
+client = QdrantClient(host="localhost", grpc_port=6334, prefer_grpc=True)
+# %%
+from bottle import route, run, template
+
+@route('/get_text_match')
+def get_matches():
+    query = request.query.get('query','A large bird eating corn')
+#    averaged = request.query.get('averaged',False)
+# %%
+    max_age = request.query.get('age',5);
+# %%
+    max_age = 5
+
+    
+
+# %%
+    averaged = False
+    if isinstance(query, str):
+        averaged = bool(averaged)
+        
+    num_videos = int(request.query.get('num_videos',5))
+    print(query, num_videos, averaged)
+
+    if do_load:
+        with torch.no_grad():
+            text_input = txt_processors['eval'](query)
+            sample = {'text_input':text_input}
+            vec = model.extract_features( sample)
+            vec_search = vec.cpu().numpy().squeeze().tolist()
+    else:
+        pass
+
+
+
+    if averaged:
+        col_name=collection_name+'_averaged'
+    else:
+        col_name = collection_name
+
+    if True:
+        for i in range(num_videos, 100, 10):
+            results = client.search(collection_name = col_name,
+                            query_vector = vec_search, limit=i)
+            num_video_got = len(set([x.payload['filepath'] for x in results]))
+            if num_video_got >= num_videos:
+                break
+    else:
+        results = client.search(collection_name = col_name,
+                                query_vector = vec_search, limit=1)
+                
+  
+
+    def linux_to_win_path(form):
+        form = form.replace('/srv','file://192.168.1.242/thebears/Videos/merged/')
+        return form
+
+    def normalize_to_merged(path):
+        path = path.replace('/srv/ftp','/mergedfs/ftp')
+        path = path.replace('/mnt/archive2/videos/ftp','/mergedfs/ftp')
+        return path
+
+    resul = list()
+    for x in results:
+        pload =dict( x.payload)
+        pload['filepath'] = normalize_to_merged(pload['filepath'])
+        pload['score'] = x.score
+        pload['winpath'] = linux_to_win_path(pload['filepath'])
+        resul.append(pload)
+        
+# %%
+    return_this = {'query':query,'num_videos':num_videos,'results':resul}
+    return return_this
+
+
+
+
+debug(True)
+run(host='0.0.0.0', port=53003)