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Start a thread on the potential issue of early stopping on parameter inference (identify sparsity)
Currently, the rule of early stopping that we implemented is to stop training if the validation lo…
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1.我的数据集是这样的（有360w张图片）
:
File "/home/stay/Desktop/CrnnPytorch/train.py", line 201, in
cost = trainBatch(crnn, criterion, optimizer)
File "/home/stay/Desktop/CrnnPytorch/train.py"…
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```
class alignCollate(object):
def __init__(self, imgH=32, imgW=100, keep_ratio=False, min_ratio=1):
self.imgH = imgH
self.imgW = imgW
self.keep_ratio = keep_rati…
ghost updated
3 years ago
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#### Learning Goals
I want to contribute a model that will detect a car in a live stream or video and recognize characters on number plate of the car .
### Exercise Statement
WE used CRNN algorit…
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@Sierkinhane
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When I enter inputs to the CNN model, there is an error in the batch norm layer because the forward() make a batch size of 1. How did you solve this?
The error is as follows:
ValueError: Expected…
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onnx2paddle转换动态图推理耗时从10ms增加到2600ms。什么情况?
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I use the original ACELoss to train CRNN based on synth90k dataset, but can not converage. I wonder if LS-ACELoss been used in such training as I mention? And what is the accuracy
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~/warp-ctc/build$ make
[ 11%] Building NVCC (Device) object CMakeFiles/warpctc.dir/src/warpctc_generated_reduce.cu.o
In file included from /usr/local/cuda-9.0/include/host_config.h:50:0,
…