dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
PythonBSD-3-Clause
Issues
- 1
AssertionError: 请指定正确的配置文件路径
#25 opened by yelimei - 2
train中,直接修改yaml文件中的nc数为1时,在load param时会报错
#26 opened by qianguanyu12138 - 1
May choose the function `os.path.splitext` ?
#44 opened by Z-MiCTrue - 2
请问您的数据集标签格式是什么样的呢,是YOLO格式吗
#41 opened by texas61 - 1
FatestDet线程设置没用,同样设置YOLO-fastestv2正常
#45 opened by Zi-x - 3
example/ncnn 文件下 ncnn 测试问题
#14 opened by Rolin-C - 2
can you offer the network structure diagram?
#17 opened by superbayes - 2
- 4
请问大佬这训练过程是否有出错的地方,一直找不到训练出来的模型
#40 opened by summm - 1
train.py导出路径
#20 opened by tututu11 - 1
FastestDet_NCNN
#12 opened by pengyang1225 - 0
- 3
小目标label无法参加训练
#24 opened by ffffwyy - 2
- 2
Set custom input resolution
#46 opened by susanin1970 - 0
- 1
- 2
onnxruntime和ncnn速度对比
#22 opened by ISCLab-Bistu - 0
请问cpu如何训练?
#42 opened by heisechibang - 4
使用OpenCV部署FastestDet,包含C++和Python两种版本的程序
#5 opened by hpc203 - 4
能否有预训练模型?
#9 opened by superbayes - 2
- 2
实际检测准确率
#33 opened by TryHard-LL - 0
mAP, Precision, Recall
#37 opened by chequanghuy - 2
mAP的问题
#19 opened by winneryoow1 - 0
请问有论文吗?希望拜读一下
#32 opened by feidufuzhou - 1
Right way to convert coco dataset
#31 opened by dzk9528 - 0
请教大佬,我训练的过程,发现,越来越小,IOU从0.5降到0.0x, 为什么呢?烦请赐教!
#29 opened by cncowboy - 2
转成ncnn之后模型精度差好多
#28 opened by 523997931 - 0
MemoryError
#27 opened by centurions - 1
- 1
这个模型怎么部署到Android上呢,有没有示例demo呢
#18 opened by jeekMic - 3
Is it a MobileOne project?
#1 opened by Grabber - 1
生成的2个预测框几乎重合
#16 opened by superbayes - 0
pth文件命名带了冒号
#15 opened by caizhuojiang - 1
multi-GPU training
#10 opened by songtf525 - 2
ncnn implementation
#4 opened by soham24 - 2
The require.txt file is missing
#2 opened by dankernel