Add underlying models

README.md

@@ -113,7 +113,7 @@ _That's it_! You have ObjectCut running on port 80 routing traffic using _traefi
 
 ### Change underlying model
 
-This project was built using [BASNet](https://github.com/NathanUA/BASNet) as the model for inferring the Salient Object Detection. However, in order to test other ones we added the support to select also [U^2-Net](https://github.com/NathanUA/U-2-Net), also implemented by [Xuebin Qin](https://github.com/NathanUA), in the Inference container specifying it as a environment variable called `MODEL`. You can do that setting your model name at [docker-compose.yml](docker-compose.yml):
+This project was built using [BASNet](https://github.com/NathanUA/BASNet) as the model for inferring the Salient Object Detection. However, in order to test other ones we added the support to select also the different versions of [U^2-Net](https://github.com/NathanUA/U-2-Net) (`U2NET`, `U2NETP` and `U2NETPORTRAIT`), also implemented by [Xuebin Qin](https://github.com/NathanUA), in the Inference container specifying it as a environment variable called `MODEL`. You can do that setting your model name at [docker-compose.yml](docker-compose.yml):
 
 ```yaml
 inference:
@@ -130,7 +130,7 @@ inference:
       - object_cut
     restart: always
     environment:
-      - MODEL=BASNet  # Can also be `U2NET`
+      - MODEL=BASNet  # Can also be `U2NET`, `U2NETP` or `U2NETPORTRAIT`
 ```
 
 ### Integrations

docker-compose.yml

@@ -44,7 +44,7 @@ services:
       - object_cut
     restart: always
     environment:
-      - MODEL=BASNet  # Can also be `U2NET`
+      - MODEL=U2NETP  # Can also be `BASNet`, `U2NET` or `U2NETPORTRAIT`
     labels:
       - 'traefik.enable=true'
       - 'traefik.docker.network=object_cut'

inference/Dockerfile

@@ -46,6 +46,7 @@ ADD ./requirements.lock ${HOME}/requirements.lock
 RUN ${HOME}/gdrive_download.sh 1s52ek_4YTDRt_EOkx1FS53u-vJa0c4nu ${HOME}/data/basnet.pth
 RUN ${HOME}/gdrive_download.sh 1ao1ovG1Qtx4b7EoskHXmi2E9rp5CHLcZ ${HOME}/data/u2net.pth
 RUN ${HOME}/gdrive_download.sh 1rbSTGKAE-MTxBYHd-51l2hMOQPT_7EPy ${HOME}/data/u2netp.pth
+RUN ${HOME}/gdrive_download.sh 1IG3HdpcRiDoWNookbncQjeaPN28t90yW ${HOME}/data/u2netportrait.pth
 
 # Install dependencies
 RUN python3 -m pip install pip --upgrade

inference/src/main.py

@@ -26,6 +26,7 @@
 
 # Load model
 model_name = os.environ.get('MODEL', Model.BASNet.name)  # BASNet as default
+log.info('Model name: [{}]'.format(model_name))
 assert model_name in Model.list()
 model_path = os.path.join('data', '{}.pth'.format(model_name.lower()))
 log.info('Model path: [{}]'.format(model_path))

inference/src/utils/model_enum.py

@@ -1,17 +1,19 @@
 from enum import Enum
 
-from src.u2_net.model import U2NET
+from src.u2_net.model import U2NET, U2NETP
 from src.bas_net.model import BASNet
 
 
 class Model(Enum):
 
     U2NET = U2NET  # U2NET
+    U2NETP = U2NETP  # U2NETP
+    U2NETPORTRAIT = U2NET  # U2NETPORTRAIT
     BASNet = BASNet  # BASNet
 
     def __str__(self):
         return self.name
 
     @staticmethod
     def list():
-        return [m.name for m in Model]
+        return [m for m in Model.__members__.keys()]

multiplexer/test/api/test_remove.py

@@ -8,7 +8,7 @@ class MultiplexerRemoveTest(BaseTestClass):
 
     def setUp(self):
         self.secret_access = env.get_secret_access()
-        self.img_url = 'https://objectcut.com/docs/images/object-cut.png'
+        self.img_url = 'https://objectcut.com/assets/img/raven.jpg'
         self.img_url_wrong = 'https://example.com/not-existing.jpg'
         self.img_base64_wrong = 'not-a-base64'
         self.img_path = os.path.join('test', 'data', 'person.jpg')