minuenergy

I want the unsupervised module. can you send me either? This is my email address: [[email protected])

> Hello, I found onnx convertor for GrondingDino model here https://blog.openvino.ai/blog-posts/enable-openvino-tm-optimization-for-groundingdino as an intermediate step in converting to openvino model: https://github.com/wenyi5608/GroundingDINO/blob/main/demo/export_openvino.py > > I get grounded.onnx and think how to...

> > ## my local env are: > > pip freeze --local > > addict==2.4.0 > > certifi==2023.7.22 > > charset-normalizer==3.2.0 > > cmake==3.27.5 > > coloredlogs==15.0.1 > > contourpy==1.1.1...

same problem. did you fix this??

> [nuistAImaster](/nuistAImaster) I find byself. this error because of mismatch between mono-head modeL(ZoeDepth_N, ZoeDepth_K) and multi-head model(ZoeDepth_NK)

Umm.. I didn't use _k model for training i cannot provide solution for you.. However training kitti for scratch can be the alternative way.

> @minuenergy If you have trained the model, how can you use the trained parameters to load the model? You can use arguments --pretrained_resource "" to load your local weights

> Hi @Andrew-Zhang > > Sorry for the delayed reply. Yes, you can use feature_extractor.py for any videos. But it needs the videos to be extracted into image frames. Alternatively,...

> Hi @debadityaroy @andypinxinliu sorry for the delayed reply. Please email me ([[email protected]](mailto:[email protected])) with a list of missing videos, and I would be happy to provide them. Hi I'm interested...