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fix spelling

This commit is contained in:
wukesong 2021-01-29 14:08:16 +08:00
parent 76e9cc46fe
commit 7a5164d3a5
4 changed files with 5 additions and 5 deletions
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2
model_zoo/official/cv/simple_pose/README.md
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@ -139,7 +139,7 @@ The structure of the files in this repository is shown below.
│ ├─ network_define.py // define loss │ ├─ network_define.py // define loss
│ └─ predict.py // predict keypoints from heatmaps │ └─ predict.py // predict keypoints from heatmaps
├─ eval.py // evaluation script ├─ eval.py // evaluation script
├─ param_convert.py // model parameters convertion script ├─ param_convert.py // model parameters conversion script
├─ train.py // training script ├─ train.py // training script
└─ README.md // descriptions about this repository └─ README.md // descriptions about this repository
``` ```

2
model_zoo/official/cv/simple_pose/src/dataset.py
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@ -47,7 +47,7 @@ class KeypointDatasetGenerator:
self.rotation_factor = cfg.DATASET.ROT_FACTOR self.rotation_factor = cfg.DATASET.ROT_FACTOR
self.flip = cfg.DATASET.FLIP self.flip = cfg.DATASET.FLIP
# dataset informations # dataset information
self.db = [] self.db = []
self.is_train = is_train self.is_train = is_train

2
model_zoo/official/cv/tinydarknet/README_CN.md
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@ -55,7 +55,7 @@ Tiny-DarkNet是Joseph Chet Redmon等人提出的一个16层的针对于经典的
<!-- # [Features](#contents) <!-- # [Features](#contents)
## [Distrubuted](#contents) ## [Distributed](#contents)
<!-- 不同的机器有同一个模型的多个副本，每个机器分配到不同的数据，然后将所有机器的计算结果按照某种方式合并 --> <!-- 不同的机器有同一个模型的多个副本，每个机器分配到不同的数据，然后将所有机器的计算结果按照某种方式合并 -->

4
model_zoo/official/cv/tinydarknet/train.py
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@ -73,7 +73,7 @@ if __name__ == '__main__':
if args_opt.dataset_name == "imagenet": if args_opt.dataset_name == "imagenet":
cfg = imagenet_cfg cfg = imagenet_cfg
else: else:
raise ValueError("Unsupport dataset.") raise ValueError("Unsupported dataset.")
# set context # set context
device_target = cfg.device_target device_target = cfg.device_target
@ -97,7 +97,7 @@ if __name__ == '__main__':
if args_opt.dataset_name == "imagenet": if args_opt.dataset_name == "imagenet":
dataset = create_dataset_imagenet(cfg.data_path, 1) dataset = create_dataset_imagenet(cfg.data_path, 1)
else: else:
raise ValueError("Unsupport dataset.") raise ValueError("Unsupported dataset.")
batch_num = dataset.get_dataset_size() batch_num = dataset.get_dataset_size()