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can pocketflow be used for object detection model #44
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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 |
Enhancement required: add support for object detection models. |
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? |
@jiaxiangxu |
thank you, then why present PocketFlow cannot support SSD and YOLO? |
@jiaxiangxu |
SSD models have been supported in the latest master branch. |
sorry, I don't find the document about pruning on SSD. Can you tell me? |
@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. |
The compression on SSD is only quantization? Is there document about quantization on SSD? |
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. |
When you release the document, I hope you can inform me. |
@as754770178 No problem. |
@jiaxiang-wu Can you tell me when the document for object detection network compression will be released. |
@jiaxiang-wu I am curious if channel pruning has been released. I would like to try it for Mobilenet SSD architecture |
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? |
thanks for the great work. Many tasks in industry scene are object detections. Can pocketflow be used for object detection model, such as ssd, faster rcnn?
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