随笔分类 - Anaconda
摘要：绘制点数据 import os import matplotlib.pyplot as plt import cv2 import math def loadTxtData(uwb_data_file): list_x = [] list_y = [] #txtFile = open("2.txt"
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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：dict1 = {} dict2={"id":12,"x":23} dict1[str(1)] = dict2 print(dict1) print(dict1[str(1)]) ##############
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摘要：python 全排列 import itertools # 利用itertools库中的permutations函数,给定一个排列,输出他的全排列 def all_permutation_fun(permutation): # itertools.permutations返回的只是一个对象,需要将其
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摘要：绘制矩形框 def plot_one_box_PIL4(box,img, fontSize1,color=None, label=None, line_thickness=None): img = Image.fromarray(img) draw = ImageDraw.Draw(img) #li
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摘要：alphapose win10运行日志 (base) H:\PytorchProject\AlphaPose-master> (base) H:\PytorchProject\AlphaPose-master> (base) H:\PytorchProject\AlphaPose-master>co
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摘要：YOLOv7_OBB 运行异常记录 (wind_2021) H:\PytorchProject\YOLOv7_OBB-main> (wind_2021) H:\PytorchProject\YOLOv7_OBB-main>python detect.py --weights 'models/yolo
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摘要：python sin arcsin import numpy as np a1 = np.arcsin(0.1226152519) print(a1) b1 = a1*180.0/3.1415926 print(b1) c1 = 2.06*np.sin(7.0) print(c1) ########
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摘要：pyqt5绘制坐标系 def paintEvent(self, event): painter = QPainter() painter.begin(self) # 绘制图像 image = self.pix if image.width()>0: rect = QRect(0, 0, image.
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摘要：python opencv 提取图像的区域 start_x = index_box[0] start_y = index_box[1] end_x = index_box[2] end_y = index_box[3] index_person_img = camera1_img[start_y:e
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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：IfcTrimmingPreference 类型定义 IfcTrimmingPreference表示首选的修剪方式。 注：定义符合ISO/CD 10303-42:1992 此类型用于描述修剪参数曲线的首选方式，其中修剪是多重定义的。 注：类型改编自ISO 10303-42中定义的trimming_p
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摘要：redis操作 import redis r = redis.StrictRedis(host='localhost', port=6379, db=0) r.set('test1', 'test1') value1 = r.get('car') print(value1) all_keys = r
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摘要：1、创建环境 conda create -n wind_2022 python==3.7 (base) D:\> (base) D:\> (base) D:\> (base) D:\>conda create -n wind_2022 python==3.7 Collecting package m
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摘要：pyqt5显示realsense d435i 界面： vc_ui.py # -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'untitled.ui' # # Created by: PyQt5 U
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摘要：error log (wind_torch_2022) bim@bim-PowerEdge-R730:~/Pytorch_Project/yolov5_train_warning$ python train_20220602.py --batch-size 1 --epochs 300 --data
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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：1、 def unevenLightCompensate(gray, blockSize): #gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) average = np.mean(gray) rows_new = int(np.ceil(gray.shape
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摘要：pyqt查看安装目录 import PyQt5 print(PyQt5.__file__) ############################
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摘要：python opencv 把多张图片合成视频 # -*- coding: utf-8 -*- import os import cv2 def picToVideo(picDir,videoName): ##完成写入对象的创建，第一个参数是合成之后的视频的名称， #第二个参数是可以使用的编码器，
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