frostnet
FrostNet: Towards Quantization-Aware Network Architecture Search
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Download Latest Version (.zip)- mobilenet.py
- resnet.py
- utils.py
- __init__.py
- alexnet.py
- mobilenet.py
- mobilenetv3.py
- resnet.py
- utils.py
- vgg.py
- densenet.py
- inception.py
- mnasnet.py
- mobilenet.py
- resnet.py
- squeezenet.py
- utils.py
- __init__.py
- alexnet.py
- mobilenet.py
- mobilenetv3.py
- resnet.py
- shufflenetv2.py
- utils.py
- vgg.py
- __init__.py
- evaluate.json
- train.json
- Criteria.py
- data_functions.py
- flops_compute.py
- flops_counter.py
- helper_functions.py
- optimizer.py
- Tensor_logger.py
- utils.py
- evaluate.py
- latency_check.py
- README.md
- requirements.txt
- train.py
- acc_latency.png
- classification.png
- detection_faster.png
- detection_retina.png
- __init__.py
- coco.py
- coco_labels.txt
- config.py
- voc0712.py
- __init__.py
- detection.py
- prior_box.py
- __init__.py
- l2norm.py
- multibox_loss.py
- __init__.py
- box_utils.py
- __init__.py
- augmentations.py
- optimizer.py
- qeval_convert.py
- qtdsod.py
- qtrainval.py
- README.md
- requirements.txt
- ssd_qmv2.py
- general_details.py
- generate_mappings.py
- print_utils.py
- process_cityscapes.py
- download_cityscapes.sh
- download_coco.sh
- download_voc.sh
- cityscapes.py
- coco.py
- custom_dataset_loader.py
- voc.py
- multi_box_loss.py
- segmentation_loss.py
- __init__.py
- base.py
- espnet.py
- espnetv2.py
- mobilenetv2.py
- mobilenetv3.py
- basic.py
- espnet_utils.py
- LRASPP.py
- RASPP.py
- espnet.py
- espnetv2.py
- mobilenetv2.py
- mobilenetv3.py
- classification_accuracy.py
- coco.py
- evaluate_detection.py
- segmentation_miou.py
- voc.py
- voc_helper.py
- box_utils.py
- color_map.py
- data_transforms.py
- flops_compute.py
- lr_scheduler.py
- nms.py
- optimizer.py
- parallel_wrapper.py
- print_utils.py
- Tensor_logger.py
- train_eval_seg.py
- utils.py
- evaluate.py
- latency_check.py
- README.md
- requirements.txt
- train.py
- __init__.py
- aligned_dataset.py
- base_dataset.py
- colorization_dataset.py
- image_folder.py
- single_dataset.py
- template_dataset.py
- unaligned_dataset.py
- combine_A_and_B.py
- download_cyclegan_dataset.sh
- download_pix2pix_dataset.sh
- make_dataset_aligned.py
- prepare_cityscapes_dataset.py
- __init__.py
- base_model.py
- colorization_model.py
- cycle_gan_model.py
- networks.py
- pix2pix_model.py
- test_model.py
- __init__.py
- base_options.py
- test_options.py
- train_options.py
- batch_hed.py
- PostprocessHED.m
- deploy.prototxt
- cityscapes.py
- download_fcn8s.sh
- evaluate.py
- util.py
- conda_deps.sh
- download_cyclegan_model.sh
- download_pix2pix_model.sh
- install_deps.sh
- test_before_push.py
- test_colorization.sh
- test_cyclegan.sh
- test_pix2pix.sh
- test_single.sh
- train_colorization.sh
- train_cyclegan.sh
- train_pix2pix.sh
- __init__.py
- get_data.py
- html.py
- image_pool.py
- optimizer.py
- util.py
- visualizer.py
- LICENSE
- README.md
- requirements.txt
- test.py
- train.py
- frostnet.py
- frostnet_features.py
- LICENSE
- NOTICE
- optimizer.py
- README.md
- training_commands.txt
# Installation Guide
1. Get the code
git clone https://github.com/clovaai/frostnet
Downloads the entire project code from GitHub to your computer.
cd frostnet
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r Classification/requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python <์คํํ ํ์ผ๋ช
>.py # README์์ ์ ํํ ์คํ ํ์ผ๋ช
์ ํ์ธํ์ธ์
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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