test mmdet pipeline

app.py

@@ -21,12 +21,13 @@ os.makedirs(OUT_FOLDER, exist_ok=True)
 @spaces.GPU(enable_queue=True)
 def infer(image_input, in_threshold=0.5, num_people="Single person", render_mesh=False):
     num_gpus = 1 if torch.cuda.is_available() else -1
-    print("!!! torch.cuda.is_available: ", torch.cuda.is_available())      
-    print("!!! torch.cuda.device_count: ", torch.cuda.device_count())   
-    print("CUDA version: ", torch.version.cuda)  
-    index = torch.cuda.current_device()
-    print("CUDA current_device: ", index)  
-    print("CUDA device_name: ", torch.cuda.get_device_name(index))
+    # dismiss cuda information
+    # print("!!! torch.cuda.is_available: ", torch.cuda.is_available())      
+    # print("!!! torch.cuda.device_count: ", torch.cuda.device_count())   
+    # print("CUDA version: ", torch.version.cuda)  
+    # index = torch.cuda.current_device()
+    # print("CUDA current_device: ", index)  
+    # print("CUDA device_name: ", torch.cuda.get_device_name(index))
     from main.inference import Inferer
     inferer = Inferer(DEFAULT_MODEL, num_gpus, OUT_FOLDER)
     os.system(f'rm -rf {OUT_FOLDER}/*')