Running the model using demo.py does not require you to download kitti data (step 3). Step 3 is only required if you want to train your own model using train.py or bench a model agains the official evaluation score evaluate.py. Also note, that I rec
Welcome to the Practitioner Bundle of Deep Learning for Computer Vision with Python! This volume is meant to be the next logical step in your deep learning for computer vision education after completing the Starter Bundle. At this point, you should
官方的DEMO，其中有几个因为动态库原因报错，未解决。 Sample01: How to create a simple 2D image and show it using OpenCV Window. Sample02: How to load and display images. Sample03: How to create a gray-scale image. Sample04: How to apply different filters to images, such as
核主元分析KPCA的降维特征提取以及故障检测应用-KPCA_v2.zip 本帖最后由 iqiukp 于 2018-11-9 15:02 编辑 核主元分析（Kernel principal component analysis ，KPCA）在降维、特征提取以及故障检测中的应用。主要功能有：（1）训练数据和测试数据的非线性主元提取（降维、特征提取） （2）SPE和T2统计量及其控制限的计算 （3）故障检测 参考文献： Lee J M, Yoo C K, Choi S W, et al.
核主元分析KPCA的降维特征提取以及故障检测应用-data.rar 本帖最后由 iqiukp 于 2018-11-9 15:02 编辑 核主元分析（Kernel principal component analysis ，KPCA）在降维、特征提取以及故障检测中的应用。主要功能有：（1）训练数据和测试数据的非线性主元提取（降维、特征提取） （2）SPE和T2统计量及其控制限的计算 （3）故障检测 参考文献： Lee J M, Yoo C K, Choi S W, et al. Non
实现生成对抗网络（Generative-Adversarial-Networks，GAN）的工程实现。
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in thi
https://github.com/NVIDIA-AI-IOT/trt_pose
This project features multi-instance pose estimation accelerated by NVIDIA TensorRT. It is ideal for applications where low latency is necessary. It includes
Training scr ipts to train on any keypoint task
https://github.com/NVIDIA-AI-IOT/trt_pose
This project features multi-instance pose estimation accelerated by NVIDIA TensorRT. It is ideal for applications where low latency is necessary. It includes
Training scr ipts to train on any keypoint task
This project base the paper-'SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification'published by abee. The whole project was wirtten by python3,it includes 2 codes and 2 sorts of data sets which nam
