随笔分类 - Torch
摘要：训练yolov5 模型 (wind_2021) H:\PytorchProject\yolov5_train_xiaotian_2023031401> (wind_2021) H:\PytorchProject\yolov5_train_xiaotian_2023031401>python trai
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摘要：yolov5训练洞口检测模型 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml 4、开始训练 (wind_2021) H:\PytorchProject\yolov5_train_hole> (wind_2021) H:\PytorchProject\yolov5_train_hol
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摘要：1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml train: VOC_2022063001/train.txt val: VOC_2022063001/val.txt # number of classes nc: 1 # class names names: ["rectz_ci
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摘要：yolov5训练识别人、反光衣、安全带、安全绳、安全帽 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml train: VOC_2022061401/train.txt val: VOC_2022061401/val.txt # number of classes nc: 5 # c
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摘要：yolov5训练警告反光标检测模型日志 1、开始训练 python train_20220601.py --img-size 640 --batch-size 4 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5m.yaml --
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摘要：yolov5训练警告反光标检测模型日志 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml myvoc.yaml train: VOC_2022052001/train.txt val: VOC_2022052001/val.txt # number of classes nc: 1
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摘要：大服务器 pytorch环境配置 1、conda create -n wind_torch_2022 python==3.7 (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ conda create -n wind_
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摘要：yolov5训练安全帽检测模型 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml myvoc.yaml train: VOC_2022050201/train.txt val: VOC_2022050201/val.txt # number of classes nc: 1 # cl
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摘要：yolov5训练分割钢筋区域的模型 使用yolov5训练分割钢筋区域的模型，用于yolov5识别钢筋并计数(yolov5钢筋计数) 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml myvoc.yaml train: VOC_2022050101/train.txt val: VOC
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摘要：paddleDetection train log [04/02 14:10:27] ppdet.engine INFO: Epoch: [99] [14520/14658] learning_rate: 0.000001 loss_xy: 12.273930 loss_wh: 3.473294 l
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摘要：yolov5训练模型日志 早晨9点多开始训练，刚刚终于训练完了！ python train_20220110.py --img-size 640 --batch-size 1 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5m.y
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摘要：torch.nn.modules.module.py from collections import OrderedDict, namedtuple import itertools import warnings import functools import torch from ..param
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摘要：yolov5测试 import argparse import time from pathlib import Path import cv2 import torch import torch.backends.cudnn as cudnn from numpy import random im
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摘要：pyqt5 yolov5运行日志 img = img.half() img = img.float()
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摘要：draw grid def grid(size=1, n=10, width=1): """draw a grid on xz plane""" gl.glLineWidth(width) s = size / float(n) s2 = 0.5 * size batch = pyglet.grap
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摘要：1、git clone https://github.com/ultralytics/yolov5 2、安装 (wind_202103) star@xmatrix:~/Yolov/yolov5-master$ (wind_202103) star@xmatrix:~/Yolov/yolov5-mas
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摘要：yolov5环境配置 (E:\Anaconda3\install1) L:\> (E:\Anaconda3\install1) L:\> (E:\Anaconda3\install1) L:\>conda create -n wind_202102 python=3.7 Fetching packa
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摘要：pip error (wind_2021) L:\PytorchProject> (wind_2021) L:\PytorchProject> (wind_2021) L:\PytorchProject>pip install cython_bbox Collecting cython_bbox U
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摘要：#https://www.tensorflow.org/install/install_linux#ValidateYourInstallation #https://github.com/MVIG-SJTU/AlphaPose #https://github.com/torch/distro gb
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