microsoft
Can run on windows platform?
after downlaod all models，excute the next command: python models_server.py --config config.yaml // local_deployment: standard
it goes wrong:
PS D:\gitlab\JARVIS\server> python models_server.py --config config.yaml
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
Some weights of DPTForDepthEstimation were not initialized from the model checkpoint at models/Intel/dpt-large and are newly initialized: ['neck.fusion_stage.layers.0.residual_layer1.convolution2.bias', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.weight', 'neck.fusion_stage.layers.0.residual_layer1.convolution2.weight', 'neck.fusion_stage.layers.0.residual_layer1.convolution1.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
[ ready ] 25.730659008026123s
I ran it in windows11, but not stable, and something goes wrong. i chat with JARVIS for rounds , then it crashed.
