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Hey,
I'm trying to run your wrapper on a batch of the Imagenet Dataset. However, I'm getting the following error:
################################################################################
Batch Size: 64
Number of Examples: 857
Number of Batches: 14
Extracting features for layer 'resnet_v2_101/logits' with shape [896, 1, 1, 1001]
################################################################################
Traceback (most recent call last):
File "example_feat_extract.py", line 152, in <module>
args.batch_size, args.num_classes)
File "example_feat_extract.py", line 86, in feature_extraction_queue
feature_dataset[layer_name][start:end] = outputs[layer_name]
ValueError: could not broadcast input array from shape (3,1,1,1001) into shape (64,1,1,1001)
I ran python example_feat_extract.py --network resnet_v2_101 --checkpoint ../checkpoints/resnet_v2_101.ckpt --image_path ../images/curr_batch/ --out_file ../features/features.h5 --layer_names resnet_v2_101/logits --preproc_func inception
The text was updated successfully, but these errors were encountered:
Hey,
I'm trying to run your wrapper on a batch of the Imagenet Dataset. However, I'm getting the following error:
I ran
python example_feat_extract.py --network resnet_v2_101 --checkpoint ../checkpoints/resnet_v2_101.ckpt --image_path ../images/curr_batch/ --out_file ../features/features.h5 --layer_names resnet_v2_101/logits --preproc_func inception
The text was updated successfully, but these errors were encountered: