Planche B. Hands-On Computer Vision with TensorFlow 2..2019

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Planche B. Hands-On Computer Vision with TensorFlow 2..2019

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Planche B. Hands-On Computer Vision with TensorFlow 2..2019
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.babelrc
BABELRC
204.8 B
.gitignore
GITIGNORE
409.6 B
AndroidManifest.xml
XML
1.8 KB
AppDelegate.swift
SWIFT
2.1 KB
Array.swift
SWIFT
2 KB
AutoFitTextureView.java
JAVA
2.5 KB
BUILD
1.2 KB
BorderedText.java
JAVA
3.7 KB
CVPixelBuffer+Helpers.swift
SWIFT
5 KB
Camera2BasicFragment.java
JAVA
36.6 KB
CameraActivity.java
JAVA
1.2 KB
Contents.json
JSON
1.6 KB
CoreMLHelpers.h
H
512 B
GpuDelegateHelper.java
JAVA
1.5 KB
IDEWorkspaceChecks.plist
PLIST
204.8 B
ImageClassifier.java
JAVA
11.3 KB
ImageClassifierFloatInception.java
JAVA
3 KB
ImageClassifierFloatMobileNet.java
JAVA
2.5 KB
ImageClassifierQuantizedMobileNet.java
JAVA
2.6 KB
Info.plist
PLIST
1.5 KB
LaunchScreen.storyboard
STORYBOARD
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MLMultiArray+Image.swift
SWIFT
1.3 KB
Main.storyboard
STORYBOARD
4.4 KB
Math.swift
SWIFT
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MultiArray.swift
SWIFT
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NonMaxSuppression.swift
SWIFT
6.7 KB
OverlayView.java
JAVA
1.6 KB
Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf
PDF
20.4 MB
Podfile
307.2 B
Podfile.lock
LOCK
512 B
Predictions.swift
SWIFT
1.9 KB
README.md
MD
4.5 KB
README.txt
TXT
102.4 B
Software Hardware List.pdf
PDF
274.4 KB
UIImage+CVPixelBuffer.swift
SWIFT
7 KB
ViewController.swift
SWIFT
5.4 KB
VisionObjectRecognitionViewController.swift
SWIFT
10.2 KB
__init__.py
PY
0 B
activity_camera.xml
XML
921.6 B
base-colors.xml
XML
614.4 B
base-strings.xml
XML
1 KB
base-template-styles.xml
XML
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bed_pic_by_benjamin_planche.png
PNG
104.5 KB
bird_pic_by_benjamin_planche.png
PNG
405.9 KB
book_cover.png
PNG
119.4 KB
bridge_by_benjamin_planche.png
PNG
70.9 KB
build.gradle
GRADLE
512 B
butterfly_pic_by_benjamin_planche.png
PNG
129.6 KB
castle_pic_by_benjamin_planche.png
PNG
100.8 KB
cat.jpg
JPG
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ch1_nb1_build_and_train_neural_network_from_scratch.ipynb
IPYNB
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ch2_nb1_mnist_keras.ipynb
IPYNB
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ch3_nb1_discover_cnns_basic_ops.ipynb
IPYNB
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ch3_nb2_build_and_train_first_cnn_with_tf2.ipynb
IPYNB
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ch3_nb3_experiment_with_optimizers.ipynb
IPYNB
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ch3_nb4_apply_regularization_methods_to_cnns.ipynb
IPYNB
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ch4_nb1_implement_resnet_from_scratch.ipynb
IPYNB
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ch4_nb2_reuse_models_from_keras_apps.ipynb
IPYNB
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ch4_nb3_fetch_models_from_tf_hub.ipynb
IPYNB
1.1 MB
ch4_nb4_apply_transfer_learning.ipynb
IPYNB
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ch4_nb5_explore_imagenet_and_its_tiny_version.ipynb
IPYNB
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ch5_nb1_yolo_inference.ipynb
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ch6_nb1_discover_autoencoders.ipynb
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ch6_nb2_denoise_with_autoencoders.ipynb
IPYNB
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ch6_nb3_improve_image_quality_with_dae.ipynb
IPYNB
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ch6_nb4_preparing_data_for_smart_car_apps.ipynb
IPYNB
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ch6_nb5_build_and_train_a_fcn8s_semantic_segmentation_model_for_smart_cars.ipynb
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ch6_nb6_build_and_train_a_unet_for_urban_object_and_instance_segmentation.ipynb
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ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb
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ch7_nb2_generate_and_parse_tfrecords.ipynb
IPYNB
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ch7_nb3_render_images_from_3d_models.ipynb
IPYNB
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ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb
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ch7_nb5_train_a_simple_domain_adversarial_network_(dann).ipynb
IPYNB
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ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb
IPYNB
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ch7_nb7_generate_images_with_vae_models.ipynb
IPYNB
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ch7_nb8_generate_images_with_gan_models.ipynb
IPYNB
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ch8_nb1_action_recognition.ipynb
IPYNB
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ch9_nb1_profiling.ipynb
IPYNB
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ch9_nb2_nms_speed_comparison.ipynb
IPYNB
38.9 KB
ch9_nb3_train_model.ipynb
IPYNB
70.8 KB
cifar_utils.py
PY
4.9 KB
cityscapes_utils.py
PY
14.4 KB
classification_utils.py
PY
4 KB
cloud_pic_by_benjamin_planche.png
PNG
99.3 KB
coco.names
NAMES
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colors.xml
XML
819.2 B
contents.xcworkspacedata
XCWORKSPACEDATA
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convert.py
PY
716.8 B
crab_by_benjamin_planche.png
PNG
130 KB
dog_example.jpg
JPG
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fcn.png
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fcn.py
PY
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forrest_pic_by_benjamin_planche.png
PNG
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fragment_camera2_basic.xml
XML
4.8 KB
fully_connected_layer.py
PY
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gradle-wrapper.jar
JAR
52.4 KB
gradle-wrapper.properties
PROPERTIES
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gradle.properties
PROPERTIES
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gradlew
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gradlew.bat
BAT
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group1-shard1of4
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group1-shard1of4.bin
BIN
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group1-shard2of4
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group1-shard2of4.bin
BIN
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group1-shard3of4
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group1-shard3of4.bin
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group1-shard4of4
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group1-shard4of4.bin
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header.jpg
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ic_action_info.png
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ic_launcher.png
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index.html
HTML
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index.js
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item_selector.xml
XML
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keras_custom_callbacks.py
PY
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labels_emotion.txt
TXT
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listview_row.xml
XML
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logo.png
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logo_amazon.png
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logo_oreilly.png
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logo_packt.png
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man_pic_by_benjamin_planche.png
PNG
135 KB
mnist_utils.py
PY
4.4 KB
model.json
JSON
53.8 KB
models.py
PY
9 KB
mountain_pic_by_benjamin_planche.png
PNG
108.2 KB
neuron.py
PY
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package-lock.json
JSON
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package.json
JSON
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palm_tree_and_lamp_pic_by_benjamin_planche.png
PNG
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plot_utils.py
PY
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project.pbxproj
PBXPROJ
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rabbit_pic_by_benjamin_planche.png
PNG
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rain_forest_pic_by_benjamin_planche.png
PNG
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renderer.py
PY
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resnet_functional.py
PY
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resnet_keras_app_tensorboard_training.png
PNG
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resnet_keras_app_transfer_learning_training.png
PNG
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resnet_objectoriented.py
PY
14.9 KB
schoolbus_pic_by_benjamin_planche.png
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sea_by_benjamin_planche.png
PNG
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serve.sh
SH
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settings.gradle
GRADLE
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simple_network.py
PY
8.1 KB
snow_bicycle_by_benjamin_planche.png
PNG
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strings.xml
XML
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styles.xml
XML
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synthia_utils.py
PY
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template-dimens.xml
XML
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template-styles.xml
XML
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tensorboard_result_grid.png
PNG
30.7 KB
testlist01.txt
TXT
138.6 KB
tf_hub_tensorboard_training.png
PNG
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tf_losses_and_metrics.py
PY
13.4 KB
tf_math.py
PY
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tile.9.png
PNG
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tiny_face_detector_model-shard1
188.8 KB
tiny_face_detector_model-shard1.weight
WEIGHT
188.8 KB
tiny_face_detector_model-weights_manifest.json
JSON
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tiny_imagenet_utils.py
PY
12 KB
trainlist01.txt
TXT
376.6 KB
unet.png
PNG
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unet.py
PY
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utils.py
PY
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woman_pic_by_benjamin_planche.png
PNG
129.6 KB
yarn.lock
LOCK
195.2 KB

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