• Import from Dockerfile
• GIT REPO URL: https://github.com/ojjsaw/ov-classification.git
• GIT Branch: main
• Dockerfile Path: Dockerfile
• Mount directories for model input, output
  • Output Mount Point: /result
  • Filesystem Path: PATH_TO_MY_MODEL_PROJECT_DIR
  • Input Mount Point: /test
  • Output Mount Point: /result
• Test videos can be downloaded from: https://storage.openvinotoolkit.org/data/test_data/videos
• Refer to the label txt files for supported labels while selecting test videos

Example:

-e MODEL=/test/mypath/to/mymodel.xml -e OUTPUT=/result/output.mp4

• alexnet
• caffenet
• convnext-tiny
• densenet-121
• densenet-121-tf
• dla-34
• efficientnet-b0
• efficientnet-b0-pytorch
• efficientnet-v2-b0
• efficientnet-v2-s
• googlenet-v1
• googlenet-v1-tf
• googlenet-v2-tf
• googlenet-v3
• googlenet-v3-pytorch
• googlenet-v4-tf
• hbonet-0.25
• hbonet-1.0
• inception-resnet-v2-tf
• levit-128s
• mixnet-l
• mobilenet-v1-0.25-128
• mobilenet-v1-1.0-224
• mobilenet-v1-1.0-224-tf
• mobilenet-v2
• mobilenet-v2-1.0-224
• mobilenet-v2-1.4-224
• mobilenet-v2-pytorch
• mobilenet-v3-large-1.0-224-tf
• mobilenet-v3-small-1.0-224-tf
• mobilenet-v3-large-1.0-224-paddle
• mobilenet-v3-small-1.0-224-paddle
• nfnet-f0
• octave-resnet-26-0.25
• regnetx-3.2gf
• repvgg-a0
• repvgg-b1
• repvgg-b3
• resnest-50-pytorch
• resnet-18-pytorch
• resnet-34-pytorch
• resnet-50-pytorch
• resnet-50-tf
• resnet18-xnor-binary-onnx-0001
• resnet50-binary-0001
• rexnet-v1-x1.0
• se-resnet-50
• shufflenet-v2-x0.5
• shufflenet-v2-x1.0
• squeezenet1.0
• squeezenet1.1
• swin-tiny-patch4-window7-224
• t2t-vit-14
• vgg16
• vgg19

Note:

Default labels file works for above list but for below OMZ models use:

-e LABELS=/app/imagenet_2015.txt

• googlenet-v2
• se-inception
• se-resnet-50
• se-resnext-50