機器視覺雜話(ZA WARUDO)

The wget program that is pre-installed with Termux is a lightweight version from  busybox  - to install the fully featured GNU wget version supporting https and more options run: packages install wget 如果還沒有辦法使用則試試: Try running hash -r before running wget again. This clears the bash path cache so that new executables are found. thats it。

Since version 2.4.4, (3.4.x)  OpenCV supports Java . In this tutorial I will explain how to setup development environment for using OpenCV Java with Eclipse in  Windows , so you can enjoy the benefits of garbage collected, very refactorable (rename variable, extract method and whatnot) modern language that enables you to write code with less effort and make less mistakes. Here we go. Configuring Eclipse First, obtain a fresh release of OpenCV  from download page  and extract it under a simple location like  C:\OpenCV-2.4.6\ . I am using version 2.4.6, but the steps are more or less the same for other versions. Now, we will define OpenCV as a user library in Eclipse, so we can reuse the configuration for any project. Launch Eclipse and select Window –> Preferences from the menu. Navigate under Java –> Build Path –> User Libraries and click New.... Enter a name, e.g. OpenCV-2.4.6, for your new library. Now select your new user library and click Add External JA

win + ctrl + o : 可以快速切換開啟與關閉螢幕小鍵盤。如下圖： 選單則是：開始->設定->輕鬆存取->鍵盤->使用螢幕小鍵盤Toogle_button.

from :  thisLInk How to train YOLOv3 to detect custom objects This tutorials is how to train cat and dog object using Yolo-v3 YOLO V3 Details — Feature Extractor: We use a new network for performing feature extraction. Our new network is a hybrid approach between the network used in YOLOv2, Darknet-19, and that newfangled residual network stuff. Our network uses successive 3 × 3 and 1 × 1 convolutional layers but now has some shortcut connections as well and is significantly larger. It has 53 convolutional layers so we call it…. wait for it….. Darknet-53!. If you want to read about yolo v3 please click  here . Yolo v3 – Architecture Dataset Preparation: The dataset preparation similar to How to train YOLOv2 to detect custom objects blog in medium and here is the  link . Please follow the above link for dataset preparation for yolo v3 and follow the link untill before the Preparing YOLOv2 configuration files . Training: Download Pretrained Convolutiona