Comments (16)
Excuse me, what is the fundamental difference between object detection models and image classification models such that the current PocketFlow cannot support object detection models?
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PocketFlow does not support object detection models (YOLO / Faster R-CNN) for the moment. We are working on this right now. #35
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Enhancement required: add support for object detection models.
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@jiaxiangxu
Some object detection models, e.g. Faster R-CNN and R-FCN, require multiple training stages (RPN -> detection model -> RPN with shared conv. layers -> detection model with shared conv. layers). This is not yet supported in PocketFlow.
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thank you, then why present PocketFlow cannot support SSD and YOLO?
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@jiaxiangxu
We have not tested on SSD on YOLO yet, so we are not sure whether PocketFlow can be directly used for these two models.
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SSD models have been supported in the latest master branch.
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sorry, I don't find the document about pruning on SSD. Can you tell me?
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@as754770178 Documentation on SSD models is not yet ready. We will publish the corresponding documentation once the channel pruning component can work as expected on SSD models.
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The compression on SSD is only quantization? Is there document about quantization on SSD?
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Current code only supports uniform quantization, but we will release the support for channel pruning shortly. The document for uniform quantization and channel pruning will be released together.
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When you release the document, I hope you can inform me.
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@as754770178 No problem.
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@jiaxiang-wu Can you tell me when the document for object detection network compression will be released.
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@jiaxiang-wu I am curious if channel pruning has been released. I would like to try it for Mobilenet SSD architecture
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I'm curious to know if channel pruning can be done on SSD model on COCO dataset using Pocketflow. Has anyone tried it and were successful?
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Related Issues (20)
- cifar10_channel pruned 的示例,通道剪枝(channel_pruning) 导出修改了计算图之后,速度比之前的更慢了! HOT 1
- Can the compression method provided by pocketflow be applied to MASK R-CNN? HOT 1
- QQ group HOT 1
- 我可以只用模型压缩部分么?
- TypeError: forward_train() missing 1 required positional argument: 'objects'
- Missing 1 required positional argument in constructor : data_format
- Download Pretrain Model But Get 502 Bad Gateway Error HOT 1
- You must feed a value for placeholder tensor 'model/input_1' with dtype float and shape [?,160,240,1]
- Question about export_chn_pruned_tflite_model.py HOT 1
- TF Version compatibility HOT 2
- Failed to create session
- Is it possible to compress the keras model with Pocket Flow
- Question about UniformLearner HOT 2
- Default tensorboard log output is huge
- FRCNN with VOC: Cannot batch tensors with different shapes in component 1.
- IndexError: list index out of range HOT 3
- Other issues:
- auto 通道裁剪问题
- test
- TF-Plus for Multi-GPU Training
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