Install Tensorflow Object Detection From Scratch in 5 Steps | Python Deep Learning
Running into errors?
Tired of seeing “ERROR: XXXXX something didn’t go right”
I hear you!
Installing Tensorflow Object Detection can be a little tricky at times. But it doesn’t need to be. In this video we’ll run through the 5 key steps you need to go through in order to setup the Tensorflow Object Detection API. We’ll go from a bare install without Python to a fully setup machine.
0:00 – Start
In this video you’ll learn how to:
02:21 – Install Python using Anaconda
05:51 – Install Microsoft Visual Studio and C++ Build Tools
09:01 – Install CUDA and CUDNN for NVIDIA
15:04 – Install Protoc for Protocol Buffers from the official Github Repo
18:58 – Install Tensorflow Object Detection API for use with Python
Anaconda – https://repo.anaconda.com/archive
Visual Studio – https://visualstudio.microsoft.com/vs/community/
CUDA 10.1 – https://developer.nvidia.com/cuda-10.1-download-archive-base
CUDNN 7.6.5 – https://developer.nvidia.com/rdp/cudnn-archive
Protoc – https://github.com/protocolbuffers/protobuf/releases
Tensorflow Models GitHub – https://github.com/tensorflow/models
Face Mask Tutorial: https://youtu.be/IOI0o3Cxv9Q
Face Mask Jupyter Notebook (Need to Label Images FIRST!): https://github.com/nicknochnack/RealTimeObjectDetection
P.s. Let me know how you go and drop a comment if you need a hand!