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## Imgae matting
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Here are a few effects(omitting mask images)：
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## How to Run
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**Method 1: Run from Source Code**
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Firstly, you need to download the project code and install the required dependencies.
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```
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# Python 3.10
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git clone https://github.com/ihmily/image-matting.git
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cd image-matting
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pip install -r requirements.txt
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```
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Next, use the following command to run the web interface.
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```
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python app.py
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```
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Finally, visit http://127.0.0.1:8000/.
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**Method 2: Run with Docker**
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Simply run the following commands after entering the project folder.
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Pull the Docker image.
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```
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docker pull ihmily/image-matting:0.0.3
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```
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After the image is pulled, run the container.
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```
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docker run -p 8000:8000 image-matting:0.0.3
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```
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Alternatively, you can build the image yourself.
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```
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docker build -t image-matting:0.0.3 .
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```
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Once the build is complete, run the container as before. Visit http://127.0.0.1:8000 to perform online image matting.
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Feel free to choose the method that suits your preference.
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## Use API
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Please run it before use API
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File upload
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```
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import requests
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server = "http://127.0.0.1:8000"
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image_path = "image.png"
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model_name = "universal" # people,universal
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files = {"image": (image_path, open(image_path, "rb"))}
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data = {"model": model_name}
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response = requests.post(server+'/matting', files=files, data=data)
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print(response.text)
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json_data = response.json()
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image_url = json_data['result_image_url']
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mask_url = json_data['mask_image_url']
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print("image_url:", server + image_url)
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print("mask_url:", server + mask_url)
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```
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Url upload
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```
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import requests
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server = "http://127.0.0.1:8000"
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image_url = "http://your-image-url/demo.png"
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data = {"image_url": image_url, "model": "universal"} # people,universal
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response = requests.post(server+'/matting/url', json=data)
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print(response.text)
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json_data = response.json()
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image_url = json_data['result_image_url']
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mask_url = json_data['mask_image_url']
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print("image_url:",server+image_url)
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print("mask_url:",server+mask_url)
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```
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You can freely choose the method you want to upload from above.If you want to get the cropped cutout, you can call `crop_image_by_alpha_channel` function.
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## Extended Gallery
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## References
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[https://modelscope.cn/models/damo/cv_unet_universal-matting/summary](https://modelscope.cn/models/damo/cv_unet_universal-matting/summary)
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[https://modelscope.cn/models/damo/cv_unet_image-matting/summary](https://modelscope.cn/models/damo/cv_unet_image-matting/summary)
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