π [Fix] some typo in README
Browse files- README.md +2 -2
- docs/HOWTO.md +3 -3
README.md
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@@ -55,14 +55,14 @@ python lazy.py task=train task.batch_size=8 model=v9-c
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### Transfer Learning
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To perform transfer learning with YOLOv9:
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```shell
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python lazy.py task=train task.batch_size=8 model=v9-c task.dataset={dataset_config}
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```
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### Inference
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To evaluate the model performance, use:
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```shell
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python lazy.py weights=v9-c.pt # if cloned from GitHub
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yolo task=inference task.source={Any} # if pip installed
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```
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### Validation [WIP]
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### Transfer Learning
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To perform transfer learning with YOLOv9:
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```shell
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python lazy.py task=train task.batch_size=8 model=v9-c task.data.dataset={dataset_config}
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```
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### Inference
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To evaluate the model performance, use:
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```shell
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python lazy.py weights=v9-c.pt # if cloned from GitHub
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+
yolo task=inference task.data.source={Any} # if pip installed
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```
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### Validation [WIP]
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docs/HOWTO.md
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@@ -138,10 +138,10 @@ Custom transformations should be designed to accept an image and its bounding bo
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- `func` draw_bboxes: given a image and list of bbox, draw bbox on the image
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- `func` draw_model: visualize the given model
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- **get_dataset**
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- `func` download_file: for a given link,
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- `func` unzip_file: unzip the
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- `func` check_files: check if the dataset file numbers is correct
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- `func` prepare_dataset: automatic
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- **loss**
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- `class` BoxLoss: a Custom Loss for bounding box
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- `class` YOLOLoss: a implementation of yolov9 loss
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- `func` draw_bboxes: given a image and list of bbox, draw bbox on the image
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- `func` draw_model: visualize the given model
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- **get_dataset**
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- `func` download_file: for a given link, download the file
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- `func` unzip_file: unzip the downloaded zip to data/
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- `func` check_files: check if the dataset file numbers is correct
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- `func` prepare_dataset: automatic download the dataset and check if it is correct
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- **loss**
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- `class` BoxLoss: a Custom Loss for bounding box
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- `class` YOLOLoss: a implementation of yolov9 loss
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