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Project: cv-tricks.com
(GitHub Link)
cv-tricks.com-master
OpenCV
Edge_detection
download_pretrained.sh
deploy.prototxt
edge.py
README.md
Pose_Estimation
README.MD
pose
mpi
pose_deploy_linevec_faster_4_stages.prototxt
body_25
body_25_deploy.prototxt
coco
deploy_coco.prototxt
run_pose.py
get_model.sh
Running_YOLO
yolov2.cfg
labels.txt
predict_on_yolo.py
ReadMe.md
Colorization
colorize_image.py
get_models.sh
colorize_video.py
README.md
pexels-photo-1038935.jpeg
LICENSE
xnornet_plusplus
quantization.py
LICENSE
models
resnet_preact.py
__init__.py
resnet_preact_bin.py
main.py
README.md
utils.py
.gitignore
Tensorflow-tutorials
Not-Safe-For-Work-Detection
test_images
LICENSE
image_utils.py
model.py
README.md
classify_nsfw.py
first_tutorial
1_linear_regression.py
tutorial-2-image-classifier
training_data
cats
dogs
predict.py
Readmd.md
train.py
testing_data
cats
dogs
dataset.py
Adversarial_examples
classify_image.py
README.md
imagenet
imagenet_2012_challenge_label_map_proto.pbtxt
LICENSE
classes.txt
Keras-Tensorflow-Finetuning-tutorial
network
VGG16.py
__init__.py
3_predict.py
1_vgg16_pretrain.py
2_vgg16_finetune.py
README.md
freeze_model_and_deploy
download_trained_model.sh
webapp.py
freeze_v1.py
run_frozen_graph.py
static
images.jpeg
Tensorflow-slim-run-prediction
datasets
dataset_utils.py
__init__.py
imagenet.py
dataset_factory.py
slim_pretrained
download_extract_v3.sh
download_extract_v1.sh
run_inference_on_v1.py
README
run_inference_on_v3.py
nets
vgg.py
inception_utils.py
inception_v3.py
alexnet.py
inception_v3_test.py
inception_resnet_v2_test.py
nets_factory.py
nets_factory_test.py
inception_v1.py
inception_resnet_v2.py
inception_v2.py
__init__.py
inception_v4.py
inception_v4_test.py
inception.py
inception_v1_test.py
inception_v2_test.py
preprocessing
vgg_preprocessing.py
inception_preprocessing.py
__init__.py
preprocessing_factory.py
Keras-Tensorflow-tutorial
1_keras_linear_regression.py
applications
imagenet_utils.py
__init__.py
vgg16.py
squeezenet.py
3_run_squeezenet.py
pexels-photo-280207.jpeg
2_run_vgg.py
README.md
.gitignore
cv-tricks.com: Learn computer vision and artificial intelligence
Repository for all the tutorials and codes shared at cv-tricks.com
Tensorflow tutorials:
1 10 minutes Practical TensorFlow lesson for quick learners: If you have just heard about Tensorflow and are looking to get started, then go to this blog post
http://cv-tricks.com/artificial-intelligence/deep-learning/deep-learning-frameworks/tensorflow-tutorial/
and in the end we train a simple linear classifier to absorb what we have studied. Code is here
https://github.com/sankit1/cv-tricks.com/tree/master/Tensorflow-tutorials/first_tutorial
2 Build image classifier using Tensorflow: In this blogpost
http://cv-tricks.com/tensorflow-tutorial/training-convolutional-neural-network-for-image-classification/
, We build a simple convolutional neural network using Tensorflow. Code is here:
https://github.com/sankit1/cv-tricks.com/tree/master/Tensorflow-tutorials/tutorial-2-image-classifier
.
3 Learn to save and restore Tensorflow Models: BlogPost here:
http://cv-tricks.com/tensorflow-tutorial/save-restore-tensorflow-models-quick-complete-tutorial/
4 Tutorial to Learn TF-slim and run VGG, Inception and other popular networks. Code here:
https://github.com/sankit1/cv-tricks.com/tree/master/Tensorflow-tutorials/Tensorflow-slim-run-prediction
5. Installing and getting started with Keras. Code here:
https://github.com/sankit1/cv-tricks.com/tree/master/Tensorflow-tutorials/Keras-Tensorflow-tutorial
Advanced Topics(Blogs):
Object Detection algorithms.
http://cv-tricks.com/artificial-intelligence/object-detection-using-deep-learning-for-advanced-users-part-1/
Image Segmentation using Tensorflow .
http://cv-tricks.com/image-segmentation/transpose-convolution-in-tensorflow/
Show-Attend-and-Tell: Finer details of Image Captioning.
http://cv-tricks.com/image-segmentation/transpose-convolution-in-tensorflow/
Accelerating CNNs on Raspberry Pi:
http://cv-tricks.com/artificial-intelligence/deep-learning/accelerating-convolutional-neural-networks-on-raspberry-pi/