Deploy YoloV5 for JETSON TX2 development board
Reference document I: nvidia pytorch compiled for JETSON Tx2Reference document 2: Jetson package downloadReference document 3: Use of Tx2 installation toolReference document 4: Jetson burning tool
1, Upgrade TX2 version to the latest version
The version of the board I got is too low. There will be many problems in the process of working, so I ...
Added by Res on Fri, 04 Mar 2022 09:19:19 +0200
Target detection YOLO series: fast iteration YOLO v5
Target detection YOLO series: fast iteration YOLO v5
Author: Glenn Jocher Published on: 2020 Original Paper: no Paper published, through github( yolov5 )Release.
1. Overview
At the beginning of its release, it was controversial. Some people thought it could be called YOLOv5. However, with its excellent performance and perfect engineering sup ...
Added by budz on Mon, 03 Jan 2022 17:21:53 +0200
2021SC@SDUSC Application and practice of software engineering in school of software, Shandong University -- yolov5 code analysis -- Part 5 -- train py
catalogue
Import third party libraries
parse_opt function
Import third party libraries
import argparse
import logging
import math
import os
import random
import sys
import time
from copy import deepcopy
from pathlib import Path
import numpy as np
import torch
import torch.distributed as dist
import torch.nn as nn
import yaml
from torch. ...
Added by daredevil88 on Tue, 28 Dec 2021 15:46:03 +0200
2021SC@SDUSC Application and practice of software engineering in school of software, Shandong University -- yoov5 code analysis torch_utils.py
2021SC@SDUSC
preface
This article analyzes torch in yolov5 code_ Utils.py file is mainly some encapsulated tool classes.
torch_distributed_zero_frist function
@contextmanager
def torch_distributed_zero_first(local_rank: int):
"""
Decorator to make all processes in distributed training wait for each local_master to do something.
...
Added by kkibak on Wed, 08 Dec 2021 05:32:00 +0200
100 cases of in-depth learning | day 53: train your own data set with YOLOv5 (super detailed full version)
Hello, I'm classmate K!
Let's move on to the last article 100 deep learning cases | day 51 - target detection algorithm (YOLOv5) (Introduction) After configuring the environment required by YOLOv5, today we try to train our data with YOLOv5. (remember to run through the introductory chapter before starting this tutorial to ensure that other en ...
Added by cauri on Thu, 04 Nov 2021 05:10:50 +0200