C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1694: UserWarning: layer.apply is deprecated and will be removed in a future version. Please use layer.__call__ method instead.
warnings.warn('layer.apply is deprecated and ’
2023-01-18 12:34:00.345212: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-01-18 12:34:01.128537: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8060 MB memory: → device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:21:00.0, compute capability: 7.5
2023-01-18 12:34:01.192387: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
0%| | 4/53918 [00:00<24:36, 36.52it/s]2023-01-18 12:34:07.758768: I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version 8700
100%|█████████████████████████████████████████████████████████████████████████| 53918/53918 [58:48<00:00, 15.28it/s]
Traceback (most recent call last):
File “C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\deeplabcut\gui\utils.py”, line 22, in run
self.func()
File “C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py”, line 640, in analyze_videos
convert_detections2tracklets(
File “C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\deeplabcut\pose_estimation_tensorflow\predict_videos.py”, line 1818, in convert_detections2tracklets
ass.calibrate(train_data_file)
File “C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\deeplabcut\pose_estimation_tensorflow\lib\inferenceutils.py”, line 300, in calibrate
dists = np.vstack([pdist(data, “sqeuclidean”) for data in xy])
File “<array_function internals>”, line 180, in vstack
File “C:\Users\Mouse\anaconda3\envs\dlc22\lib\site-packages\numpy\core\shape_base.py”, line 282, in vstack
return _nx.concatenate(arrs, 0)
File “<array_function internals>”, line 180, in concatenate
ValueError: need at least one array to concatenate