已解决 已采纳 2楼回复于2024-03-13 10:06:20 热心市民:您好 怎么解决的 2024-03-13 19:05:00 hw_lxlx回复热心市民:代码包里的pipeline 更改使用的.om模型 因为我转化的是prune60 但是pipeline里面的脚本模型为prune55 2024-03-13 19:40:41 显示10 1 我...
yolov5_prune 本项目基于tanluren/yolov3-channel-and-layer-pruning实现,将项目扩展到yolov5上。项目的基本流程是,使用ultralytics/yolov5训练自己的数据集,在模型性能达到要求但速度未达到要求时,对模型进行剪枝。首先是稀疏化训练,稀疏化训练很重要,如果模型稀疏度不够,剪枝比例过大会导致剪枝后的模型map接近0。
path='/home/lishuang/Disk/remote/pycharm/yolov5_prune/data/val/images/1_31746E6D4E3BF411_2020-01-07-18-08-59-383_0_65_640_370_6.jpg' img0=cv2.imread(path)# BGR # Padded resize img=letterboxv5(img0,new_shape=416)[0]
xiexiexxs/yolov5prune forked from belieber/yolov5prune 确定同步? 同步操作将从 belieber/yolov5prune 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!! 确定后同步将在后台操作,完成时将刷新页面,请耐心等待。 删除在远程仓库中不存在的分支和标签 同步Wiki (当前仓库的 wiki 将会被...
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license """ Download utils """ import os import platform import subprocess import time import urllib from pathlib import Path from zipfile import ZipFile import requests import torch def gsutil_getsize(url=''): # gs://bucket/file size https://cloud...
yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5 - simplify folders · jayer95/yolov5_prune@2dbcffd
python train.py --data data/VisDrone.yaml --imgsz 640 --weights '' --cfg models/yolo_ghostnet.yaml --nosave --device 0,1,2,3 --sync-bn You can change depth_multiple and width_multiple to choose different yolov5 verson prune EagleEye Normal Training python train.py --data data/Vi...
2 changes: 1 addition & 1 deletion 2 prune_yolov5s.sh Original file line numberDiff line numberDiff line change @@ -1 +1 @@ python prune_yolov5s.py --cfg cfg/yolov5s_v6_hand.cfg --data data/oxfordhand.data --weights weights/last_v6s.pt --percent 0.8 --img_size 640 pyth...
copy_weight_v6(modelyolov5, model) if len(modelyolov5.yaml["anchors"]) == 4: copy_weight_reverse = copy_weight_v6x_reverse else: copy_weight_reverse = copy_weight_v6_reverse eval_modelv2 = lambda model:val.run(opt.data, model=model, batch_size=4, imgsz=img_size, plots=False, str...
Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning! - eamon-cai/YOLO-Pruning-RKNN