随笔分类 - Anaconda
摘要：旧笔记本环境二次配置，为了运行dowhy (base) PS F:\PythonProject> (base) PS F:\PythonProject> (base) PS F:\PythonProject> pip install tensorflow Collecting tensorflow
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摘要：PaddleDetection 检测跟踪 PP-Human检测跟踪模块 行人检测与跟踪在智慧社区，工业巡检，交通监控等方向都具有广泛应用，PP-Human中集成了检测跟踪模块，是关键点检测、属性行为识别等任务的基础。我们提供了预训练模型，用户可以直接下载使用。 任务算法精度预测速度(ms)下载链接
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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：笔记本SSD目标检测 done # # To activate this environment, use # # $ conda activate wind_ssd # # To deactivate an active environment, use # # $ conda deactivat
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摘要：python plot_one_box def plot_one_box_wall0401(x, img, color=None, label=None, line_thickness=None): # Plots one bounding box on image img tl = line_th
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摘要：Pytorch tensor的值 赋值给python变量 pytorch下只打印tensor的数值不打印出device等信息 print(conf) str_1 = f'{conf:.5f}' conf_2 = float(str_1)print(conf_2) tensor(0.12781, de
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摘要：配置PaddleDetection 激活环境 (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ conda activate wind_paddle (
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摘要：大服务器bim-PowerEdge-R730，显卡型号： Tesla P100-PCIE (base) bim@bim-PowerEdge-R730:~$ conda create -n wind_paddle python==3.7 Collecting package metadata (cur
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摘要：PaddleDetection配置记录 启动环境： (base) C:\Users\BIM>conda activate wind_paddle (wind_paddle) C:\Users\BIM> 下载程序(从github上下载)，进入目录： (wind_paddle) F:\> (wind_p
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摘要：绘制关节点 def draw_bodypose3(canvas, candidate, subset): stickwidth = 2 limbSeq = [[2, 3], [2, 6], [3, 4], [4, 5], [6, 7], [7, 8], [2, 9], [9, 10], \ [10,
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摘要：uwb实验数据记录 list_dis = [] list_t = [] for p in range(146): index_dis = sqrt((x[0][p]-list_new_data[0][p])*(x[0][p]-list_new_data[0][p]) + (x[1][p]-list_
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摘要：python排列组合 import itertools for i in itertools.combinations('12345', 4): print(i," ") print(i[0]) print('\n') (wind_2021) F:\PytorchProject\yolov5-mas
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摘要：python读取shp文件属性值并保存到csv 使用shapefile库 pip安装shapefile (E:\Anaconda3\install1) C:\Users\luo> (E:\Anaconda3\install1) C:\Users\luo> (E:\Anaconda3\install1
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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：pip install npm (wind_2021) L:\>pip install npm Collecting npm Downloading npm-0.1.1.tar.gz (2.5 kB) Collecting optional-django==0.1.0 Downloading opt
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摘要：realsense测量2 import pyrealsense2 as rs pipeline = rs.pipeline() config = rs.config() config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30
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摘要：笔记本环境 done # # To activate this environment, use # # $ conda activate wind_2021 # # To deactivate an active environment, use # # $ conda deactivate (b
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摘要：matlab chol() [S]=chol(Ppr2)'; np.linalg.cholesky print(" "*20) Ppr2=np.array([[0.0119,-0.0832,-0.0287,-0.0072,0.0011],[-0.0832,5.2764,1.8354,0.7185,-
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摘要：yolov5单图片检测 import argparse import time from pathlib import Path import cv2 import torch import torch.backends.cudnn as cudnn from numpy import random
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摘要：python numpy 矩阵 from numpy import *; import numpy as np; randomMat1=np.matrix([0.26358242,0.35134772,0.43263799,2.87872261]); mul1 = np.matrix([100,15
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