[GitHub] qingzhouzhen commented on issue #7786: Pvanet:Deep but Lightweight Neural Neural Networks for Real-time Object Detection

[gi...@git.apache.org]

qingzhouzhen commented on issue #7786: Pvanet:Deep but Lightweight Neural Neural Networks for Real-time Object Detection
URL: https://github.com/apache/incubator-mxnet/pull/7786#issuecomment-327680944
 
 
   How I do:
   1 pretrain pvanet with ImageNet, it is image classification, to specify, `cd /path/to/example/image-calssification` `python train_imagenet.py --data-train=/data/ILSVRC2012_img_train.rec --data-val=/data/ILSVRC2012_img_val.rec --model-prefix=pvanet-models/pvanet --network=pvanet --gpus=0,1,2,3 --disp-batch=50 --batch-size=512 --lr=0.1 --top-k=5` , as refered in article, reshape image to 192*192
   2 when "1" step finished, copy the model to /path/to/incubator-mxnet/example/rcnn/model, then `bash script/pvanet_voc07.sh 0`
   
 
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services