Merge pull request #79 from supervisely-ecosystem/debug-connection-error

Add Protocol Exception Handling

.devcontainer/Dockerfile

@@ -11,12 +11,12 @@ RUN pip3 install onnx==1.12.0
 
 RUN apt-get install ffmpeg libgeos-dev libsm6 libxext6 libexiv2-dev libxrender-dev libboost-all-dev -y
 
-RUN python3 -m pip install supervisely==6.73.212
-RUN python3 -m pip install supervisely[tracking]==6.73.212
+RUN python3 -m pip install supervisely==6.73.256
+RUN python3 -m pip install supervisely[tracking]==6.73.256
 RUN pip3 install requests==2.28.2 urllib3==1.26.15
 RUN pip3 install packaging==21.3
 RUN python3 -c "from supervisely.nn.tracker import *"
-RUN python3 -m pip install supervisely[model-benchmark]==6.73.212
+RUN python3 -m pip install supervisely[model-benchmark]==6.73.256
 RUN pip3 install dill==0.3.8
 
 RUN apt-get update

.vscode/launch_runtimes.json

@@ -49,11 +49,10 @@
             "env": {
                 "PYTHONPATH": "${workspaceFolder}:${PYTHONPATH}:/root/supervisely",
                 "LOG_LEVEL": "DEBUG",
-                // "ENV": "production",
                 "TEAM_ID": "440",
                 "DEBUG_WITH_SLY_NET": "1",
                 "PROJECT_ID": "41442",
-                "WORKSPACE_ID": "1076",
+                "WORKSPACE_ID": "1076"
             }
         },
         {
@@ -64,7 +63,7 @@
             "justMyCode": false,
             "env": {
                 "PYTHONPATH": "${workspaceFolder}:${workspaceFolder}/serve:${PYTHONPATH}:/root/supervisely",
-                "LOG_LEVEL": "DEBUG",
+                "LOG_LEVEL": "DEBUG"
             }
         },
         {
@@ -75,8 +74,8 @@
             "console": "integratedTerminal",
             "justMyCode": false,
             "env": {
-                "PYTHONPATH": "${workspaceFolder}:${PYTHONPATH}:/root/supervisely",
+                "PYTHONPATH": "${workspaceFolder}:${PYTHONPATH}:/root/supervisely"
             }
-        },
+        }
     ]
 }

docker/Dockerfile

@@ -21,8 +21,7 @@ RUN pip3 install ruamel.yaml==0.17.21
 RUN pip3 install ultralytics==8.3.15
 RUN pip3 install onnxruntime-gpu==1.18.0
 RUN pip3 install dill==0.2.8.2 tf2onnx==1.16.1 skl2onnx==1.17.0
-RUN pip3 uninstall -y nvidia-cudnn-cu11
-RUN python3 -m pip install supervisely[tracking,model-benchmark]==6.73.243
+RUN python3 -m pip install supervisely[tracking,model-benchmark]==6.73.256
 RUN python3 -c "from supervisely.nn.tracker import *"
 
-LABEL python_sdk_version=6.73.243
+LABEL python_sdk_version=6.73.256

docker/publish.sh

@@ -1,2 +1,2 @@
-docker build -t supervisely/yolov8:1.0.34 . && \
-docker push supervisely/yolov8:1.0.34
+docker build -t supervisely/yolov8:1.0.41 . && \
+docker push supervisely/yolov8:1.0.41

export_weights/config.json

@@ -15,7 +15,7 @@
       "files_file"
     ]
   },
-  "docker_image": "supervisely/yolov8:1.0.39",
+  "docker_image": "supervisely/yolov8:1.0.41",
   "instance_version": "6.12.12",
   "main_script": "export_weights/src/main.py",
   "modal_template": "export_weights/src/modal.html",

serve/config.json

@@ -20,7 +20,7 @@
     "deployed_nn"
   ],
   "community_agent": false,
-  "docker_image": "supervisely/yolov8:1.0.40",
+  "docker_image": "supervisely/yolov8:1.0.41",
   "instance_version": "6.12.12",
   "entrypoint": "python3 -m uvicorn src.main:m.app --app-dir ./serve --host 0.0.0.0 --port 8000 --ws websockets",
   "port": 8000,

serve/dev_requirements.txt

@@ -1,6 +1,6 @@
 # git+https://github.com/supervisely/supervisely.git@some-test-branch
 
-supervisely[model-benchmark]==6.73.250
+supervisely[model-benchmark]==6.73.256
 ultralytics==8.2.26
 --extra-index-url https://download.pytorch.org/whl/cu113
 torch==1.10.1+cu113

train/.devcontainer/Dockerfile

@@ -1,4 +1,4 @@
-FROM supervisely/yolov8:1.0.18
+FROM supervisely/yolov8:1.0.41
 
 # RUN pip3 install git+https://github.com/supervisely/supervisely.git@model-benchmark
 RUN pip3 install setuptools==69.5.1

train/.vscode/launch.json

@@ -3,7 +3,7 @@
     "configurations": [
         {
             "name": "Uvicorn",
-            "type": "python",
+            "type": "debugpy",
             "request": "launch",
             "module": "uvicorn",
             "args": [

train/config.json

@@ -11,7 +11,7 @@
     "train"
   ],
   "description": "Dashboard to configure, start and monitor YOLOv8 | v9 | v10 | v11 training",
-  "docker_image": "supervisely/yolov8:1.0.40",
+  "docker_image": "supervisely/yolov8:1.0.41",
   "instance_version": "6.12.12",
   "entrypoint": "python3 -m uvicorn src.main:app --app-dir ./train --host 0.0.0.0 --port 8000 --ws websockets",
   "task_location": "workspace_tasks",

train/dev_requirements.txt

@@ -1 +1 @@
-supervisely[model-benchmark]==6.73.250
+supervisely[model-benchmark]==6.73.256

train/src/dataset_cache.py

@@ -22,7 +22,7 @@ def _no_cache_download(
     dataset_ids = [dataset_info.id for dataset_info in dataset_infos]
     total = sum([dataset_info.images_count for dataset_info in dataset_infos])
     try:
-        with progress(message="Downloading input data...", total=total) as pbar:                        
+        with progress(message="Downloading input data...", total=total) as pbar:
             sly.download_async(
                 api=api,
                 project_id=project_info.id,