* add model inference on single image * rm --eval * revise doc * add inference tool and demo * fix linting * rename inference_image to inference_model * infer pred_label and pred_score * fix linting * add docstr for inference * add remove_keys * add doc for inference * dump results rather than outputs * add class_names * add related infer scripts * add demo image and the first part of colab tutorial * conduct evaluation in dataset * return lst in simple_test * compuate topk accuracy with numpy * return outputs in test api * merge inference and evaluation tool * fix typo * rm gt_labels in test conifg * get gt_labels during evaluation * sperate the ipython notebook to another PR * return tensor for onnx_export * detach var in simple_test * rm inference script * rm inference script * construct data dict to replace LoadImage * print first predicted result if args.out is None * modify test_pipeline in inference * refactor class_names of imagenet * set class_to_idx as a property in base dataset * output pred_class during inference * remove unused docstr |
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utils | ||
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__init__.py |