Update the Nuclio version

changelog.d/20240429_125117_zahadhamov_update_nuclio_version.md

@@ -0,0 +1,10 @@
+### Changed
+
+- Update the Nuclio version and related packages/libraries
+  (<https://github.com/cvat-ai/cvat/pull/7787>)
+
+### Removed
+- The `mask_rcnn` function has been removed because `mask_rcnn` using python3.6.
+In new version of Nuclio python3.6 is no longer supported. Nuclio officially recommends using python3.9.
+Running `mask_rcnn` on python3.9 causes errors within the function and package conflicts.
+  (<https://github.com/cvat-ai/cvat/pull/7787>)

components/serverless/docker-compose.serverless.yml

@@ -1,7 +1,7 @@
 services:
   nuclio:
     container_name: nuclio
-    image: quay.io/nuclio/dashboard:1.11.24-amd64
+    image: quay.io/nuclio/dashboard:1.13.0-amd64
     restart: always
     networks:
       - cvat

helm-chart/Chart.yaml

@@ -32,7 +32,7 @@ dependencies:
     condition: postgresql.enabled
 
   - name: nuclio
-    version: 0.12.1
+    version: 0.19.0
     repository: https://nuclio.github.io/nuclio/charts
     condition: nuclio.enabled
 

serverless/pytorch/foolwood/siammask/nuclio/function-gpu.yaml

@@ -9,7 +9,7 @@ metadata:
 
 spec:
   description: Fast Online Object Tracking and Segmentation
-  runtime: 'python:3.6'
+  runtime: 'python:3.9'
   handler: main:handler
   eventTimeout: 30s
   env:
@@ -27,21 +27,21 @@ spec:
         - kind: ARG
           value: PATH="/root/miniconda3/bin:${PATH}"
         - kind: RUN
-          value: apt update && apt install -y --no-install-recommends wget git ca-certificates libglib2.0-0 libsm6 libxrender1 libxext6 && rm -rf /var/lib/apt/lists/*
+          value: apt update && apt install -y --no-install-recommends wget git ca-certificates libgl1 libglib2.0-0 libsm6 libxrender1 libxext6 && rm -rf /var/lib/apt/lists/*
         - kind: RUN
           value: wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &&
             chmod +x Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh -b &&
             rm -f Miniconda3-latest-Linux-x86_64.sh
         - kind: WORKDIR
           value: /opt/nuclio
         - kind: RUN
-          value: conda create -y -n siammask python=3.7
+          value: conda create -y -n siammask python=3.9
         - kind: SHELL
           value: '["conda", "run", "-n", "siammask", "/bin/bash", "-c"]'
         - kind: RUN
           value: git clone https://github.com/foolwood/SiamMask.git
         - kind: RUN
-          value: pip install Cython==0.29.4 colorama==0.3.9 numpy==1.15.4 requests==2.21.0 fire==0.1.3 matplotlib==2.2.3 numba==0.39.0 scipy==1.1.0 h5py==2.8.0 pandas==0.23.4 tqdm==4.29.1 tensorboardX==1.6 opencv_python==3.4.3.18 jsonpickle
+          value: pip install Cython colorama 'numpy<1.20' requests fire matplotlib numba scipy h5py pandas tqdm tensorboardX opencv_python jsonpickle
         - kind: RUN
           value: pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
         - kind: RUN
@@ -51,7 +51,7 @@ spec:
         - kind: RUN
           value: wget -P SiamMask/experiments/siammask_sharp http://www.robots.ox.ac.uk/~qwang/SiamMask_DAVIS.pth
         - kind: ENTRYPOINT
-          value: '["conda", "run", "-n", "siammask"]'
+          value: '["conda", "run", "--no-capture-output", "-n", "siammask"]'
 
   triggers:
     myHttpTrigger:

serverless/pytorch/foolwood/siammask/nuclio/function.yaml

@@ -9,7 +9,7 @@ metadata:
 
 spec:
   description: Fast Online Object Tracking and Segmentation
-  runtime: 'python:3.6'
+  runtime: 'python:3.9'
   handler: main:handler
   eventTimeout: 30s
   env:
@@ -27,29 +27,29 @@ spec:
         - kind: ARG
           value: PATH="/root/miniconda3/bin:${PATH}"
         - kind: RUN
-          value: apt update && apt install -y --no-install-recommends wget git ca-certificates libglib2.0-0 libsm6 libxrender1 libxext6 && rm -rf /var/lib/apt/lists/*
+          value: apt update && apt install -y --no-install-recommends wget git ca-certificates libgl1 libglib2.0-0 libsm6 libxrender1 libxext6 && rm -rf /var/lib/apt/lists/*
         - kind: RUN
           value: wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &&
             chmod +x Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh -b &&
             rm -f Miniconda3-latest-Linux-x86_64.sh
         - kind: WORKDIR
           value: /opt/nuclio
         - kind: RUN
-          value: conda create -y -n siammask python=3.6
+          value: conda create -y -n siammask python=3.9
         - kind: SHELL
           value: '["conda", "run", "-n", "siammask", "/bin/bash", "-c"]'
         - kind: RUN
           value: git clone https://github.com/foolwood/SiamMask.git
         - kind: RUN
-          value: pip install Cython==0.29.4 colorama==0.3.9 numpy==1.15.4 requests==2.21.0 fire==0.1.3 matplotlib==2.2.3 numba==0.39.0 scipy==1.1.0 h5py==2.8.0 pandas==0.23.4 tqdm==4.29.1 tensorboardX==1.6 opencv_python==3.4.3.18 torch==1.9.0 torchvision==0.2.1 jsonpickle
+          value: pip install Cython colorama 'numpy<1.20' requests fire matplotlib numba scipy h5py pandas tqdm tensorboardX opencv_python torch torchvision jsonpickle
         - kind: RUN
           value: conda install -y gcc_linux-64
         - kind: RUN
           value: cd SiamMask && bash make.sh && cd -
         - kind: RUN
           value: wget -P SiamMask/experiments/siammask_sharp http://www.robots.ox.ac.uk/~qwang/SiamMask_DAVIS.pth
         - kind: ENTRYPOINT
-          value: '["conda", "run", "-n", "siammask"]'
+          value: '["conda", "run", "--no-capture-output", "-n", "siammask"]'
 
   triggers:
     myHttpTrigger:

serverless/pytorch/saic-vul/fbrs/nuclio/function.yaml

@@ -14,7 +14,7 @@ metadata:
 
 spec:
   description: f-BRS interactive segmentation
-  runtime: 'python:3.6'
+  runtime: 'python:3.9'
   handler: main:handler
   eventTimeout: 30s
   env:
@@ -23,7 +23,6 @@ spec:
 
   build:
     image: cvat.pth.saic-vul.fbrs
-    baseImage: python:3.6.11
 
     directives:
       preCopy:

serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function-gpu.yaml

@@ -91,13 +91,13 @@ metadata:
 
 spec:
   description: Faster RCNN from Tensorflow Object Detection API optimized for GPU
-  runtime: 'python:3.6'
+  runtime: 'python:3.9'
   handler: main:handler
   eventTimeout: 30s
 
   build:
     image: cvat.tf.faster_rcnn_inception_v2_coco:latest-gpu
-    baseImage: tensorflow/tensorflow:2.1.1-gpu
+    baseImage: tensorflow/tensorflow:2.16.1-gpu
 
     directives:
       preCopy:

serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml

@@ -91,13 +91,13 @@ metadata:
 
 spec:
   description: Faster RCNN from Tensorflow Object Detection API
-  runtime: 'python:3.6'
+  runtime: 'python:3.9'
   handler: main:handler
   eventTimeout: 30s
 
   build:
     image: cvat.tf.faster_rcnn_inception_v2_coco
-    baseImage: tensorflow/tensorflow:2.1.1
+    baseImage: tensorflow/tensorflow:2.16.1
 
     directives:
       preCopy:

serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/model_loader.py

@@ -35,7 +35,7 @@ def __del__(self):
     def infer(self, image):
         width, height = image.size
         if width > 1920 or height > 1080:
-            image = image.resize((width // 2, height // 2), Image.ANTIALIAS)
+            image = image.resize((width // 2, height // 2), Image.LANCZOS)
         image_np = np.array(image.getdata())[:, :3].reshape(
             (image.height, image.width, -1)).astype(np.uint8)
         image_np = np.expand_dims(image_np, axis=0)