-
-
Which Neural Network works better for our self driving goals?
-
Thank you for your work
As the code appears:
def compute_loss_term(self, non_avg_ce, flag, device):
# Depending on function, compute loss term accordingly
if self.fcn == 'fcn…
Tzx11 updated
1 month ago
-
FCN ile ilgil örnek yapılacak.
-
请教一下PO主,为什么FCN中POOL4和POOL3做运算之前要进行一个SCALING不是很能理解
-
http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/net_surgery.ipynb#Casting-a-Classifier-into-a-Fully-Convolutional-Network
-
# official implement
backbone network is vgg16
backbone pretrained = true
backbone freeze = false
batch_size=20
input size=500x500
optimizer = sgd(1e-4) + momentum(0.9)
weight decay=5^-4 or 2^-…
-
In the Outline, function signatures look like this:
That's not ideal. The function name is redundant in a small-screen-real-estate area. If there's no argouts, it's printed twice right in a row…
-
![image](https://github.com/user-attachments/assets/6e101cca-963e-442f-a662-463db410f236)
这图不知道是干嘛的,感觉有误导性啊,阅读的时候还以为这是RPN的结构呢,看原文才发现RPN是FCN
-
`/home/disk/ia-rjt/GaussNewtonMinLeakage.cc: In constructor ‘coder::Symbol::Symbol(const char*, const char*, const char*, coder::file_type)’:
/home/disk/ia-rjt/GaussNewtonMinLeakage.cc:2816:30: error…