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Very interesting work! I’m wonder if you are interested in reimplement the symbol codes in gluon and contribute into gluoncv https://gluon-cv.mxnet.io ?
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Hi,
We have re-implemented the estimation model in [GluonCV](https://gluon-cv.mxnet.io/). We also achieve slightly higher AP by using pre-trained ResNet with higher accuracy: https://gluon-cv.mxnet…
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These ops are not in mxnet serializer:
- slice_axis
- sigmoid
- expand_dims
- _arange
- broadcast_add
- slice_like
- exp
- elemwise_sub
- tile
- repeat
- _contrib_box_nms
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cascade_rcnn_vgg16_pruned_voc
Traceback (most recent call last):
File "scripts/detection/cascade_rcnn/train_cascade_rcnn.py", line 490, in
net = get_model(net_name, pretrained_base=True)
…
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when i ran import cell I am getting below error.
I tried to install other mxnet version also[ CUDA100=1.4.1]. still getting same error
from detector_prototype import Detector
--------------…
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There are two scripts that are missing in order for people to properly utilize the dataset:
- [To Appear] Official script to convert gluoncv motion dataset format to MOTChallenge and MSCOCO dataset…
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Hello @rainLiuplus @JiahaoYao, after converting the ResNet50 of the MXnet model zoo to the Keras .h5 format, I have noticed that the accuracy after conversion is not good. I have tried the mxnet infer…
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File "train_yolo3_mobilenet.py", line 314, in train
warmup_epochs=args.warmup_epochs)
TypeError: __init__() got an unexpected keyword argument 'step'
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There are some code to show how to convert gluoncv models to pytorch? Thank you~
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## Description
A simple method to launch int8 inference with gluon is that loading back a quantized JSON file and parameter as a SymbolBlock. However, SymbolBlock function is based on CachedOP which …