该示例基于THREEAR库,并针对小程序运行环境,对基础库jsARToolkit进行了重新编译和修改。
- 通过修改jsartoolkit的相机标定(camera calibration)文件,可以实现不同比例源识别。
- 该示例目前只在安卓环境下测试过,ios小程序存在卡顿或无法识别的现象。
微信小程序AR测试
THREE.WebGLRenderer: WEBGL_depth_texture extension not supported;
THREE.WebGLRenderer: OES_depth_float extension not supported;
THREE.WebGLRenderer: EXT_blend_minmax extension not supported
代码没有改动,直接在真机上测试,识别不了图片,无法显示 AR
识别图片链接:https://github.com/JamesLMilner/THREEAR/blob/master/data/hiro.jpg
你好,想问下这里缺失的文件是在哪里?
请问下, demo效果是Android手机上的吗? 我用iphone测试 canvas一直黑色不透明, . 有没有好的解决方案呢
有没有考虑过奖opencv.js 折腾进去小程序,用opencv.js感觉可以做的事情更多。
我想问下识别图是哪个?识别图是如何加载的?
我的设备是iPhoneXR 微信版本7.0.12 扫码调试APP闪退,真机调试模式可以启动项目,没有黑屏,但是扫描不能识别图案。
作者能透露下是如何解决jsartoolkit中的new Function 和eval的吗?如何修改ThreeAR呢?
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