Alberto Fernández Villán's repositories
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
100-Days-Of-ML-Code
100 Days of ML Coding
Aruco_python
This is Aruco Build in Python, basically it is written in C++. This is the bindings through Opencv
Aruco_Tracker
Aruco Markers for pose estimation
augmented-reality-1
Snapchat-like augmented reality filters
automatic-memes
Automatic Memes in Python with Face Detection
car-detection-yolo
Autonomous driving - car detection using the very powerful YOLO model
Cell-Segmentation
Automated identification of cell boundaries from the pathological video data
CIFAR10CNNFlask
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Color-Transfer-Between-Images
Here, we implement (loosely) the color transfer algorithm mentioned in paper by Reinhard et al, 2001.
Computer-Vision-Basics-with-Python-Keras-and-OpenCV
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
data-science-projects
:star2::star2: Projects , Blogs and Notebooks on numpy , scikit, pandas , matplotlib and usuage of Tensorflow :star2:
DEEP-LEARNING-practical-introduction-with-Keras
DEEP-LEARNING-practical-introduction-with-Keras
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
eiti-eiasr
University Project: Traffic signs recognition with SVM algoritm running on HOG features
Example-python-project-structure
A personal attempt to systematize information on the structure of the Python project
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
Keras_age_gender
Easy Real time gender age prediction from webcam video with Keras
Landmark-Retrival
Easy Landmark Image Recognition with TensorFlow Hub DELF Module
objdet_train_tensorflow_colab
Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.
OpenCV-3-x-with-Python-By-Example
published by Packt
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
python-cv-samples
Python computer vision samples
YoloV3_video_colab
This Jupyter notebook explains how to run YOLO on Google Colab, for videos.