Issues
- 1
量化后模型参数文件大小并没有变化
#108 opened by StrugglingForBetter - 2
- 0
IndexError: index 0 is out of range
#114 opened by fys-leo - 3
精度下降严重
#73 opened by YONGHUICAI - 0
请问u版的yolov3代码更新了,改用yaml文件了,还能剪枝吗
#113 opened by 1311523821 - 0
shortcut_prune.py中update_activation
#112 opened by xuan-xuan6 - 0
yolov3-tiny.cfg文件第二yolo层mask为0,1,2
#111 opened by junze6 - 0
请问在ultralytics中训练好的模型怎么在这个repo下剪枝?
#110 opened by caihaunqai - 4
关于ultralytics的对应repo版本
#94 opened by waittim - 0
licenses
#109 opened by vanny-maker - 2
模型剪枝后,weight转成keras的h5问题
#72 opened by daizhiyi - 1
有关剪枝后再量化的问题
#68 opened by 0x45f - 2
必须要进行基础训练才能进行稀疏训练吗?
#83 opened by luhang-HPU - 2
- 0
非剪枝训练与darknet训练结果不一致
#107 opened by DLTensor - 2
- 1
NameError: name 'parse_data_cfg' is not defined
#104 opened by tianyma - 0
使用nromal_prune.py时出现以下问题
#105 opened by zhaoleo1111 - 1
为什么shortcut_prune剪枝方法中,上采样前的卷积层不能进行剪枝?
#96 opened by worldzhang1996 - 1
稀疏化训练完后并没有生成 cfg 文件,直接剪枝报错
#103 opened by lguopeng - 0
请问用AB版yolov3训练出来的.weight模型文件,如何在本工程剪枝
#102 opened by Edison0902 - 0
模型压缩后推理时间如何达到5.9ms?
#101 opened by fangxiaolin - 0
- 0
用自己的数据集训练,图片的size必须为416吗
#99 opened by zx20173646 - 0
如何让YOLOv3-tiny在COCO2014上进行稀疏化训练啊
#98 opened by zx20173646 - 0
用yolo3-tiny训练的时候报如下错误,请问有人遇到过吗
#97 opened by shirleyatgithub - 0
关于训练最后一个epoch的mAP猛增,查准率骤降,查全率猛增的问题
#95 opened by zhaowendao30 - 2
- 1
invalid syntax
#93 opened by CHINAZYANG - 1
converter.py的位置在哪
#81 opened by luthorLI - 1
WARNING: non-finite loss, ending training
#92 opened by CheungBH - 0
raise Exception
#91 opened by Muxindawang - 1
请问是否支持v3-tiny的量化?
#89 opened by VYXUOF - 1
unable to prune yolov3 spp model. Need help
#67 opened by joel5638 - 0
对yolov3-spp进行剪枝的时候遇到以下问题
#90 opened by ZhihangTang - 1
关于论文中稀疏训练的损失函数的疑惑
#85 opened by songyang86 - 0
- 0
训练好的模型可以直接进行第3步吗?
#87 opened by HaolyShiit - 0
请问能否提供在oxford hand数据集上正常训练后的权重模型
#86 opened by euminds - 0
关于量化的疑问?
#84 opened by infrontofme - 2
opencv不支持剪枝后的模型部署?
#78 opened by wwzh2015 - 1
- 1
图像被缩放为256x416
#79 opened by seek-ing - 0
I have carefully read the following code normal_prune.py regular_prune.py and failed to see why they produce different compression rates, can you guide me?
#76 opened by gzchenjiajun - 0
- 0
Does this repo simply set the parameter to zero? I think we're going to change the structure of the network?
#74 opened by gzchenjiajun - 4
关于无需微调的原理
#70 opened by Hi-goodboy - 0
- 0
关于normal_prune.py后生成的cfg疑问?
#69 opened by szuRyan - 0
conf_thres =0.01 或者 0.1 为什么设定这么低,能解释下吗?
#65 opened by Ming-Y-ANG