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Are you saying that is not possible to use TFDS from a Tensorflow Docker container? Why? Is it a problem with TF or with Docker? I already did the conversion...
This is strage, I did what you suggested and I get the following error: ``` Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/official/vision/beta/train.py", line 23, in from official.common import registry_imports File...
Similarly for EfficientNet: ``` root@745616268d5f:/usr/local/lib/python3.6/dist-packages/official/vision/image_classification# python3 classifier_trainer.py --mode=train_and_eval --model_type=efficientnet --dataset=imagenet --model_dir=$MODEL_DIR --data_dir=$DATA_DIR --config_file=configs/examples/efficientnet/imagenet/efficientnet-b0-gpu.yaml --params_override='runtime.num_gpus=1' 2021-09-15 06:42:04.619103: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:937] successful NUMA node read from SysFS had negative value (-1), but there...
Yes, I figured out I needed the tfrecords, I did this: ### Dataset preparation #### Download Imagenet2012: https://image-net.org/ `export IMAGENET_HOME=` #### Setup folders `mkdir -p $IMAGENET_HOME/validation` `mkdir -p $IMAGENET_HOME/train` ####...
I got it! thank you for your help @saberkun. Here I explain what I did, in case someone finds it useful: ``` python3 $IMAGE_CLASSIFICATION/train.py --experiment=resnet_imagenet \ --config_file=$EXPERIMENT/imagenet_resnet50_gpu_custom.yaml \ --mode=train_and_eval --model_dir=$MODEL_DIR...
Exactly, I used a local path, I downloaded manually the dataset and used the imagenet_to_gcs.py script only to get the tfrecords, with the noupload flag. Is there an easier way...
Hello everyone, I tried using `tfds` as @jackd suggested, but it didn't work. I got an error that says "Not enough disk space", but I do have more than 200GB...
After the #242 PR, some issues have been addressed, and the updated list of suggestions is now: - Replace Interlink with interLink, as the authors prefer. **Please, replace all the...
Fixed in PR #297