- Sep 19 Sun 2021 09:09
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Install MySQL community
- Sep 13 Mon 2021 10:14
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A Simple C# window form Application using SQLite and Dapper
- Aug 31 Tue 2021 14:02
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A small pygame project
- May 31 Mon 2021 09:22
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Google Meet + Classroom 教師手冊 / 附錄：如何製作教學影片
- Apr 07 Wed 2021 08:01
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What is ONNX?
- Mar 15 Mon 2021 10:11
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Install PyTorch with Anaconda
You have to install Spyder before Pytorch installation.
And then install pytorch, torchvision and matplotlib from pytorch channel
> conda install pytorch torchvision matplotlib -c pytorch
And then install pytorch, torchvision and matplotlib from pytorch channel
> conda install pytorch torchvision matplotlib -c pytorch
- Mar 10 Wed 2021 09:24
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YOLOv4-Based 3D Object Tracking
- Feb 22 Mon 2021 13:50
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[軟體工程師雜談] 輕鬆搞懂開源程式碼(open source)的授權(license) : apache, mit, bsd, gpl, lgpl, agpl
A good introduction to those who want to understand the differences between MIT, GPL, LGPL licenses.
- Feb 19 Fri 2021 04:12
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Convolutional Neural Networks (CNN)
Here is a collection of related Convolutional Neural Networks tutorials that involve object detection and localization.
TensorRT YOLOv4
TensorRT YOLOv4
- Feb 19 Fri 2021 03:20
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Keras installation with Anaconda
- Feb 07 Sun 2021 10:28
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How to calculate the number of parameters in CNN model?
import keras
from keras import layers
from keras import models
print('keras version: {}'.format(keras.__version__))model = models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))
model.summary()
- Feb 03 Wed 2021 09:21
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How to show an image in a figure instead of a back-end display?
from keras.datasets import mnist
import matplotlib.pyplot as plt
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
ind = 10
digit = train_images[ind]
plt.imshow(digit, cmap=plt.cm.binary)
plt.show()
x = train_images[ind,7:-7, 7:-7]
plt.imshow(x, cmap=plt.cm.binary)
plt.show()
