--- title: "(Draft) Ubuntu, Jupyter Notebook, Python3, Tensorflow, OpenCV : Détection des cyclistes et des casques" url: https://www.cyber-neurones.org/2020/10/draft-ubuntu-jupyter-notebook-python3-tensorflow-opencv-detection-des-cyclistes-et-des-casques/ date: 2020-10-01 modified: 2020-10-01 author: "Frederic" description: "Je fais un petit brouillon de mon installation : Ubuntu 18.04.4 LTS Kernel 5.4.0-42-generic (uname -a) Python 3.6.9 (python3 --version) Jupyter Notebook 6.1.4 OpenCV : 3.2.0 ii libopencv-calib3d3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64..." categories: - "Ubuntu" tags: - "OpenCV" - "Python3" - "Tensorflow" word_count: 806 --- # (Draft) Ubuntu, Jupyter Notebook, Python3, Tensorflow, OpenCV : Détection des cyclistes et des casques Je fais un petit brouillon de mon installation : - **Ubuntu** 18.04.4 LTS - **Kernel** 5.4.0-42-generic (uname -a) - **Python** 3.6.9 (python3 --version) - **Jupyter Notebook** 6.1.4 - **OpenCV** : 3.2.0 ii libopencv-calib3d3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Camera Calibration library ii libopencv-contrib3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision contrlib library ii libopencv-core3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision core library ii libopencv-features2d3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Feature Detection and Descriptor Extraction library ii libopencv-flann3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Clustering and Search in Multi-Dimensional spaces library ii libopencv-highgui3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision High-level GUI and Media I/O library ii libopencv-imgcodecs3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Image Codecs library ii libopencv-imgproc3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Image Processing library ii libopencv-ml3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Machine Learning library ii libopencv-objdetect3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Object Detection library ii libopencv-photo3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision computational photography library ii libopencv-shape3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision shape descriptors and matchers library ii libopencv-stitching3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision image stitching library ii libopencv-superres3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Super Resolution library ii libopencv-video3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Video analysis library ii libopencv-videoio3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision Video I/O library ii libopencv-videostab3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision video stabilization library ii libopencv-viz3.2:amd64 3.2.0+dfsg-4ubuntu0.1 amd64 computer vision 3D data visualization library - **TensorFlow** : 1.14.0 ( python3 -c 'import tensorflow as tf; print(tf.__version__)'  ) - **TensorFlow** : 2.3.1 : - **pip3 show tensorflow** Name: tensorflow Version: 2.3.1 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: packages@tensorflow.org License: Apache 2.0 Location: /home/arias/.local/lib/python3.8/site-packages Requires: tensorboard, gast, protobuf, termcolor, absl-py, numpy, tensorflow-estimator, opt-einsum, wheel, astunparse, h5py, google-pasta, wrapt, grpcio, six, keras-preprocessing Required-by: ### Les projet github utilisés : git clone **[https://github.com/iamprahladsinghnegi/](https://github.com/iamprahladsinghnegi/)automaticDetectionOfBikeRiderDrivingWithoutHelmet.git ** cd automaticDetectionOfBikeRiderDrivingWithoutHelmet git clone **[https://github.com/tensorflow/models](https://github.com/tensorflow/models) ** cp -r inference_graph/ models/research/object_detection/. cp -r test1.jpg output.jpg models/research/object_detection/. cp -r training/ models/research/object_detection/ cp automaticDetectionOfBikeRiderDrivingWithoutHelmet.ipynb models/research/object_detection/. ### Installation (dans le désordre): sudo apt-get -y install python3python-pip python-dev sudo -H pip3 install jupyter pip3 install numpy sudo apt-get install python3-google-apputils sudo apt install python3-tensorflow pip3 install tensorflow-cpu python3 -m pip install tensorflow python3 -m pip install utils sudo apt install protobuf-compiler python3 -m pip install matplotlib ### Important : Une fois que l'on a les deux projets il faut faire la commande ( dans automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/ ): protoc object_detection/protos/*.proto --python_out=. Il faut lancer ** Jupyter Notebook** et ouvrir celui qui est dans models/research/object_detection/. sudo jupyter notebook --allow-root Ensuite il faut ouvrir un navigateur sur le port 8888 , au lancement on a dans les logs le token à utiliser : Ensuite le lien doit être du type : http://127.0.0.1:8888/notebooks/models/research/object_detection/automaticDetectionOfBikeRiderDrivingWithoutHelmet.ipynb [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-10-58-29-300x289.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-10-58-29.png) ### Résultat : - Cela fonctionne sur les photos (sauf avec les vélo de face): [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-18-38-24-300x201.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-18-38-24.png) - Cela fonctionne très lentement sur les vidéos (surement que ma résolution est trop haute ou mon CPU pas assez puissant) . Mon CPU :** Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz** [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-20-44-10-300x172.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-20-44-10.png) [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-20-41-50-300x168.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-09-30-20-41-50.png) - Cela fonctionne sur la WebCam en direct. Je vais donc essayer d'améliorer et de remettre au propre ... **Vrai/Faux pour Michel : Une requête sur un moteur de recherche c’est, "une ampoule basse consommation allumée pendant 1 heure”.** - Vrai - Faux View Results ![Chargement ...](https://www.cyber-neurones.org/wp-content/plugins/wp-polls/images/loading.gif) Chargement ... ### UPDATE 1: J'ai voulu tester celui-ci de projet : [https://github.com/yonghah/bikerider-detector ](https://github.com/yonghah/bikerider-detector): Bike-rider Detector. L'installation : # **git clone https://github.com/yonghah/bikerider-detector.git** .. # **python3 -m pip install pandas** .. # **cd bikerider-detector/src** .. # **time python3 split_train_test.py --test_ratio=0.3** 0.3 train image 273 out of total 391 446 186 real 0m0,659s user 0m0,704s sys 0m0,719s # **time python3 generate_tfrecord.py --csv_input=../data/training/data/train_labels.csv --output_path=../data/training/data/train.record** ... real 0m2,351s user 0m2,003s sys 0m0,810s # **time python3 generate_tfrecord.py --csv_input=../data/training/data/test_labels.csv --output_path=../data/training/data/test.record** ... real 0m2,158s user 0m2,014s sys 0m0,850s Mais ensuite il n'y a pas de fichier train.py dans `object_detection` Quand on lance Jupiter : **sudo jupyter notebook --allow-root** # cp test-bikerider-detector.ipynb ~/github/automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/object_detection/. # cp -r data/ ~/github/automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/. # cd ~/github/automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/object_detection/. # sudo jupyter notebook --allow-root J'ai modifier la ligne avec : sys.path.append("..") [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-14-02-57-1024x670.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-14-02-57.png)J'ai l'erreur suivante : NotFoundError: ../data/training/model/bikerider/frozen_inference_graph.pb; No such file or directory Si j'utilise le fichier du projet précédent : cp automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/object_detection/inference_graph/frozen_inference_graph.pb ../data/training/model/bikerider/. ### UPDATE 2: J'ai changé ma version de Python afin de faire un upgrade sur tensorflow : $ cd /usr/bin/ $ sudo rm python3 $ sudo ln -s python3.8 /usr/bin/python3 $ python3 -V Python 3.8.0 $ pip3 install --upgrade tensorflow $ python3 -c 'import tensorflow as tf; print(tf.__version__)' 2.3.1 Pour supprimer l'erreur : **No module named ipykernel_launcher** , j'ai du faire (je n'avais pas l'erreur avec la version 3.6): $ pip3 install ipykernel $ pip3 install matplotlib Sur le second projet j'avais l'apparition de l'erreur : **AttributeError: module 'tensorflow' has no attribute 'GraphDef' **. J'ai du modifier le code : detection_graph = tf.Graph() with detection_graph.as_default(): od_graph_def = tf.**compat.v1**.GraphDef() with tf.**compat.v2.io.**gfile.GFile(PATH_TO_CKPT, 'rb') as fid: serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') Ensuite j'ai eu l'erreur : **AttributeError: module 'tensorflow' has no attribute 'Session'** . J'ai du modifier le code : with detection_graph.as_default(): with tf.**compat.v1.**Session(graph=detection_graph) as sess: # Definite input and output Tensors for detection_graph ### UPDATE 3: J'ai changé le fichier frozen_inference_graph.pb par le fichier [https://github.com/datitran/object_detector_app/blob/master/object_detection/ssd_mobilenet_v1_coco_11_06_2017/frozen_inference_graph.pb](https://github.com/datitran/object_detector_app/blob/master/object_detection/ssd_mobilenet_v1_coco_11_06_2017/frozen_inference_graph.pb) . cp frozen_inference_graph.pb ../github/automaticDetectionOfBikeRiderDrivingWithoutHelmet/models/research/data/training/model/bikerider/frozen_inference_graph_2.pb La détection était meilleure sur certaines photos ...à noter que j'ai aussi modifié le code (afin de garder les deux fichiers): PATH_TO_CKPT = '../data/training/model/bikerider/frozen_inference_graph_2.pb' [![](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-16-24-42-300x214.png)](https://www.cyber-neurones.org/wp-content/uploads/2020/10/screenshot-from-2020-10-01-16-24-42.png)