Chen Ma

Results 43 issues of Chen Ma

in https://github.com/xdever/RFCN-tensorflow/blob/master/BoxEngine/RPN.py#L54 https://github.com/xdever/RFCN-tensorflow/blob/master/BoxEngine/BoxRefinementNetwork.py#L47 https://github.com/xdever/RFCN-tensorflow/blob/master/BoxEngine/ROIPooling/ROIPoolingWrapper.py#L31 You pass a mystery `offset=[32,32]`, what is the intention of this offset?

the command line python superresolution.py --modelpath generator_model_3008000.npz --imagepath input.png --outputpath sr.png is too slow and which runs consume about 8~9Gb memory. Can it optimize to fast and consume smaller memory?

I want to download pretrained chainer model .npz to continue to train.

Which is train script, how should I train on different dataset, Do we need to write load data script?

I repeat my understanding about your codes, can you tell me is it exactly what you mean? In this example , I omit the procedure of random sample, just look...

https://github.com/lfz/Guided-Denoise/blob/master/Exps/sample/inception.py#L329 https://github.com/lfz/Guided-Denoise/blob/master/Exps/sample/inception.py#L413 But actually you have 1000 classes, why set to 1001 and then `outputs.append(x[:,1:])`

Dear Sir: In your code `def approximate_gradient(model, sample, num_evals, delta, params)`, https://github.com/Jianbo-Lab/HSJA/blob/daecd5c7055d5214b39c34a7a28a98acd3557fbc/hsja.py#L165 I thought this code is used for estimating the true gradient as the following code: ``` def get_grad(self,...

The code starts from https://github.com/Jianbo-Lab/HSJA/blob/master/hsja.py#L182 What does these codes mean? I can understand the above code to estimate gradients, which is mainly RGF method.