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I have trained mobilenet from scratch with my custom dataset. Can you guide me how to evaluate my model using the validation set(tfrecord files) and eval_image_classifier.py and save the results to a csv file ?
The text was updated successfully, but these errors were encountered:
Meet the same problem,
the shell command is: python eval_image_classifier.py --dataset_dir="/tmp/pascalvoc0712_tfrecord/" --dataset_split_name="train" --dataset_name="kitti" --checkpoint_path="/soft/MobileNet/detect_results/"
Terminal prints "ValueError: Item [label] is invalid. Valid entries include: ['shape', 'object/bbox', 'image', 'object/label', 'record_key']"
I have trained mobilenet from scratch with my custom dataset. Can you guide me how to evaluate my model using the validation set(tfrecord files) and eval_image_classifier.py and save the results to a csv file ?
The text was updated successfully, but these errors were encountered: