see below example:
data dump to file
import pickle
f = open("any_file.dmp', "wb")
f.write(pickle.dumps(data))
f.close()
data load by dump
data = pickle.loads(open("any_file.dmp", "rb").read())
Subscribe to:
Post Comments (Atom)
-
Google Coral USB Edge TPU Implementation Guide 1. Installation and Troubleshooting 1.1 Hardware Requirements Google Coral USB Accelerator ...
-
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
ONNX Runtime with ROCm (AMD GPU) Setup Guide Installation Prerequisites ROCm installed (6.0+ recommended) Python 3.8-3.10 Install ONNX Runti...
-
Video stabilization example source code. The principle is like that... Firstly, to obtain 2 adjacent images extract good feature to t... -
I use MOG2 algorithm to background subtraction. The process is resize to small for more fast processing to blur for avoid noise affectio...
-
Created Date : 2011.2 Language : C/C++ Tool : Microsoft Visual C++ 2010 Library & Utilized : OpenCV 2.2 Reference : Interent Refer... -
Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output... -
After training SVM, we should test the trained XML data is reliable or not.. The method to extract HOG feature is refer to -> http://fe...
-
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
No comments:
Post a Comment