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dog-qiuqiu
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Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
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About ncnn_sample Compile Guide
#25
Hideousmon
closed
11 months ago
20
先验框问题
#24
Larry-Zheng
opened
3 years ago
1
Yolo-fast 转ncnn 加载崩溃
#23
lhxy1991
closed
3 years ago
0
Android deployment
#22
zxj11838
opened
3 years ago
4
total loss is very large
#21
yunxiaozimeng
opened
3 years ago
2
nvcc fatal : Unsupported gpu architecture 'compute_61'
#20
yunxiaozimeng
opened
3 years ago
2
您好,请问怎么训练RGB-D的数据呢?
#19
JimXu1989
opened
3 years ago
0
onnx convert error
#18
AIgiraffe
opened
3 years ago
4
请问如果我想训练自己的数据,需要怎么更改.cfg文件?
#17
JimXu1989
closed
3 years ago
6
Architecture Definition and Training Details
#16
prakharg24
opened
3 years ago
0
Why did you choose 109?
#15
csqqlee
opened
3 years ago
2
Papers about yolo-fastest
#14
VPRzhou
opened
3 years ago
2
inference costs 29ms 1080TI
#13
DLTensor
opened
3 years ago
2
COCO mAP for Yolo-Fastest
#12
MuhammadAsadJaved
opened
3 years ago
0
主干添加CSP模块
#11
dog-qiuqiu
closed
3 years ago
0
8 bit problem
#10
chuck0518
opened
3 years ago
2
请问到哪里找yolo-fastest.conv.109?
#9
JimXu1989
closed
3 years ago
7
TensorRT supported?
#8
CaeTism
opened
3 years ago
5
To tranform caffe failed! How can we solute the question?
#7
shiguoliang
opened
3 years ago
1
CUDNN < 7 doesn't support groups, please upgrade!
#6
monoloxo
opened
3 years ago
2
How to get the pre-trained weights for yolo-fastest-xl ?
#5
arnoldfychen
closed
3 years ago
9
Update readme for compiling in Linux and demo
#4
MuhammadAsadJaved
closed
3 years ago
0
Update readme
#3
MuhammadAsadJaved
closed
3 years ago
0
Demo
#2
hundanLi
opened
3 years ago
1
Darknet to TensorFlow
#1
maziyao
opened
3 years ago
1
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