Comments (24)
@choasup we're targeting in November.
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@cpoptic we'll release the model exporting very soon and then efficient models for mobile after that, hopefully within next 1-2 weeks.
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So, one year after does there any updates on such detectron2go
?
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When will Detectron2go release in plan?
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@cpoptic we'll release the model exporting very soon and then efficient models for mobile after that, hopefully within next 1-2 weeks.
That be awesome. Currently deciding between Tensorflow Object Detection API and Detectron2. If mobile inference was possible on Dectectron, my decision would be made.
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@startupgurukul only caffe2 and "caffe2-style" torch script for now.
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@startupgurukul
There is already a (very limited) tool that converts some standard detectron2 models to tensorflow, as mentioned in https://detectron2.readthedocs.io/notes/compatibility.html#compatibility-with-tensorflow
It does not use onnx. I believe most detectron2 models cannot successfully convert to tensorflow through onnx.
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Exporting and running a model in caffe2 is already open source for a while. See https://detectron2.readthedocs.io/tutorials/deployment.html
The only other feature we currently plan to open source from detectron2go is efficient FBNet-based models, tracked in #696.
Is there a demo of how to use model.pb and model_init.pb? After pytorch merged caffe2, it is not wasy to find a caffe2 C++ example...
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Hi Yuxin, any update on the release date for Detectron2Go? Very excited for this
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It is just awesome, going to the extent of supporting other frameworks, just increases the respect towards Detectron Team and can only imagine this being to Portal to visual apps of the future.
Coming to getting to run in a browser, while converting to tf.js format got a complain that ValueError: Unsupported Ops in the model before optimization, MirrorPad, InvertPermutation
By setting --skip_op_check flag, it was bypassed and conversion succeded, yet to try the converted model, will keep you posted with the updates
Looking forward to come back with the news that detectron2 can also infer in the browser as well.
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Exporting and running a model in caffe2 is already open source for a while. See https://detectron2.readthedocs.io/tutorials/deployment.html
The only other feature we currently plan to open source from detectron2go is efficient FBNet-based models, tracked in #696.
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@ArtanisCV Detectron2Go will also be open-sourced soon, stay tuned!
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@wat3rBro Exporting model to which format? Is it onnx?
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@jinfagang i beleive caffe2( via onnx ) and mobile models would be with shufflenet or fbnet backbone.
@wat3rBro So many possibilities, looking forward
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@jinfagang, @startupgurukul is correct, with FBNet backbone.
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@startupgurukul only caffe2 and "caffe2-style" torch script for now.
hello,i have tried to use maskrcnn2go (caffe2 style),very great job,when pytorch version come ?
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any news about detectron2go...
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It seems that the newest PR is about detectron2go?
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Detectron2go still has a long way to go!
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when will Detectron2go be released??? I am very expected it.
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Does this pb model is essentially onnx model? Can it port to other framwork through this model such as TensorRT?
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Related Issues (20)
- export_model.py crashes with keypoints HOT 1
- export_model.py crashes with keypoints HOT 9
- Very slow training on Apple M1 Pro HOT 2
- UnpicklingError: invalid load key, '\xef'. HOT 2
- export_model.py - list_of_lines[165] = " [1344, 1344], 1344 \n" HOT 1
- Please read & provide the following HOT 2
- The comits you are making are breaking the code!!! HOT 1
- @torch.compiler.disable - AttributeError: module 'torch' has no attribute 'compiler' HOT 7
- missing config key error HOT 2
- Please read & provide the following HOT 1
- Detectron2 about rotated object detection HOT 1
- AttributeError: Cannot find field 'gt_masks' in the given Instances! HOT 1
- DensePose的apply_net.py运行dump的选项时候,如何多gpu运行呢? HOT 1
- Encountered freezing during start training at iteration 0 HOT 2
- printing label name and bbox coordinates of predicted images
- Add device argument for multi-backends access & Ascend NPU support HOT 3
- How to convert densepose model to onnx? HOT 1
- 模型跑出来的效果超出预期
- Does this project support FCOS? HOT 1
- C++ and onnx HOT 2
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