Comments (2)
python inference.py --output_file=test-gatednetvladLF-256k-1024-80-0002-300iter-norelu-basic-gatedmoe.csv --input_data_pattern=test_data/test*.tfrecord --model=NetVLADModelLF --train_dir=youtube-8m/public/ --frame_features=True --feature_names="rgb,audio" --feature_sizes="1024,128" --batch_size=1024 --base_learning_rate=0.0002 --netvlad_cluster_size=256 --netvlad_hidden_size=1024 --moe_l2=1e-6 --iterations=300 --learning_rate_decay=0.8 --netvlad_relu=False --gating=True --moe_prob_gating=True --run_once=True --top_k=50
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hello, I meet the same problem. Have you solve this problem?
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Related Issues (20)
- where is the model?
- inference wrong HOT 1
- How to fine-tune your pretrained model HOT 3
- Prediction results are the same in inference
- Not found: Key tower/fully_connected/biases not found in checkpoint HOT 2
- Are you the first team in the game, please
- train time
- Problem in running pre-trained model HOT 1
- InvalidArgumentError: Name: , Context feature 'video_id' is required but could not be found. HOT 16
- About descriptors in NetVLAD
- How to
- NetVLAD 256 out of memory on titan x 12 GB
- Context feature 'video_id' is required but could not be found. HOT 3
- Google audio set HOT 3
- Got different results from inference.py and eval.py HOT 2
- mean average precision greater than 1!!!!!!!!!!!!!!!!! HOT 1
- TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64 HOT 1
- inference error using the pretrained model
- Inference on new videos?
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