How to Set Up TensorFlow Object Detection on the Raspberry Pi
Why Stack Overflow recommends it
Stack Overflow users link it as the setup guide they followed for running TensorFlow object detection on a Raspberry Pi, usually when asking follow-up questions about the resulting script or errors.
Recommended by 0 people across 0 different months, 2018 to 2020.
What it is
A step-by-step tutorial from Edje Electronics on installing TensorFlow, OpenCV and Protobuf on a Raspberry Pi 3 running Raspbian Stretch. It then sets up the TensorFlow Object Detection API so objects can be detected in live video from a Picamera or USB webcam.
What people said
Cites Inv3nt0r · 2018-10 · Stack Overflow · on “Tensorflow object Detection with OpenCV export Text of objects detected”
I am working with Object Detection using Tensorflow and openCV on Raspberry pi 3B+. I am pretty beginner and don't know much inside the actual working of it. So I saw a tutorial this [this video] . So basically it is detecting objects and making a box on object in window and labeling it. I want raspberry pi to speak out the objects that he detects with more than 60% chances of that object. So how do I extract the string of detected object so that another script can speak that out. The script for detecting object is as follows: Thank you ######## Picamera Object Detection Using Tensorflow Classifier ######### # # Author: Evan Juras # Date: 4/15/18 # Description: # This program uses a TensorFlow cl
Cites mryldz · 2018-10 · Stack Overflow · on “Traceback (most recent call last) error on Tensorflow Rasperry PI zero W”
I have Rasppery PI zero Wireless and I am trying to use Tensorflow on it. I did all steps on link below. [this video] github link: [LINK] Object_detection_picamera.py: ######## Picamera Object Detection Using Tensorflow Classifier ######### # # Author: Evan Juras # Date: 4/15/18 # Description: # This program uses a TensorFlow classifier to perform object detection. # It loads the classifier uses it to perform object detection on a Picamera feed. # It draws boxes and scores around the objects of interest in each frame from # the Picamera. It also can be used with a webcam by adding "--usbcam" # when executing this script from the terminal. ## Some of the code is copied from Google's example at ##
Cites Inv3nt0r · 2018-10 · Stack Overflow · on “Tensorflow object Detection with OpenCV export Text of objects detected”
Thanks for the reply. I am referring this tutorial: [this video] In this he is using ssdlite dataset trained by coco model. model link: [LINK]
Cites Y Narvekar · 2019-04 · Stack Overflow · on “How do I solve Raspberry Pi 2 / Tensorflow Allocation of 5031936 exceeds 10% of system memory error?”
I am trying to detect humans in a video frame using tensorflow object detection api and raspberry pi 2.The video input is from an ip camera. I get the following error when I run my code. 2019-04-07 13:57:17.996374: W tensorflow/core/framework/allocator.cc:124] Allocation of 5660928 exceeds 10% of system memory. 2019-04-07 13:57:18.096145: W tensorflow/core/framework/allocator.cc:124] Allocation of 25159680 exceeds 10% of system memory. 2019-04-07 13:57:18.208663: W tensorflow/core/framework/allocator.cc:124] Allocation of 10063872 exceeds 10% of system memory. 2019-04-07 13:57:18.260229: W tensorflow/core/framework/allocator.cc:124] Allocation of 5031936 exceeds 10% of system memory. 2019-04
Cites Paul Higazi · 2020-07 · Stack Overflow · on “How do i separate overlapping cards from each other using python opencv?”
Yes i also think that Image Classification, or Instance Segmentation like YOLO is the best choice to make. I used a Jetson Nano (SOC Board) to transfer learn a MASK RCNN to achieve comparable results to this video, on Card segmentation : [this video]