Course 4 Week 3

autonomous driving classes recognition

Author: GSimas

.gitattributes

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+ResNet50.h5 filter=lfs diff=lfs merge=lfs -text
+ResNets/ResNet50.h5 filter=lfs diff=lfs merge=lfs -text
+Course[[:space:]]4/Week[[:space:]]2/ResNets/ResNet50.h5 filter=lfs diff=lfs merge=lfs -text

Course 4/Week 3/Autonomous driving application - Car detection - v1.pdf

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+<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">Drive.ai Sample Dataset</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.

Course 4/Week 3/Autonomous+driving+application+-+Car+detection+-+v1.ipynb

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+COPYRIGHT
+
+All contributions by deeplearning.ai (Kian Katanforoosh, Younes Bensouda Mourri, Andrew Ng):
+Copyright (c) 2017, deeplearning.ai (Kian Katanforoosh, Younes Bensouda Mourri, Andrew Ng).
+All rights reserved.
+
+This work incorporates contributions due to Allan Zelener released under an MIT License, reproduced below:
+
+----------------------------------------------------
+All contributions by Allan Zelener:
+Copyright (c) 2017, Allan Zelener.
+All rights reserved.
+
+All other contributions:
+Copyright (c) 2017, the respective contributors.
+All rights reserved.
+
+Each contributor holds copyright over their respective contributions.
+The project versioning (Git) records all such contribution source information.
+
+LICENSE
+
+The MIT License (MIT)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+----------------------------------------------------
+

Course 4/Week 3/Autonomous+driving+application+-+Car+detection+-+v1.py

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+Copyright (c) 2014, Mozilla Foundation https://mozilla.org/ with Reserved Font Name Fira Mono.
+
+Copyright (c) 2014, Telefonica S.A.
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL
+
+-----------------------------------------------------------
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+-----------------------------------------------------------
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+"Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation.
+
+"Reserved Font Name" refers to any names specified as such after the copyright statement(s).
+
+"Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s).
+
+"Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment.
+
+"Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission.
+
+5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE.

Course 4/Week 3/Drive.ai+Dataset+Sample+LICENSE

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+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush

Course 4/Week 3/LICENSE

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+car

Course 4/Week 3/font/FiraMono-Medium.otf

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+0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828

Course 4/Week 3/font/SIL+Open+Font+License.txt

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+"""Darknet19 Model Defined in Keras."""
+import functools
+from functools import partial
+
+from keras.layers import Conv2D, MaxPooling2D
+from keras.layers.advanced_activations import LeakyReLU
+from keras.layers.normalization import BatchNormalization
+from keras.models import Model
+from keras.regularizers import l2
+
+from ..utils import compose
+
+# Partial wrapper for Convolution2D with static default argument.
+_DarknetConv2D = partial(Conv2D, padding='same')
+
+
+@functools.wraps(Conv2D)
+def DarknetConv2D(*args, **kwargs):
+    """Wrapper to set Darknet weight regularizer for Convolution2D."""
+    darknet_conv_kwargs = {'kernel_regularizer': l2(5e-4)}
+    darknet_conv_kwargs.update(kwargs)
+    return _DarknetConv2D(*args, **darknet_conv_kwargs)
+
+
+def DarknetConv2D_BN_Leaky(*args, **kwargs):
+    """Darknet Convolution2D followed by BatchNormalization and LeakyReLU."""
+    no_bias_kwargs = {'use_bias': False}
+    no_bias_kwargs.update(kwargs)
+    return compose(
+        DarknetConv2D(*args, **no_bias_kwargs),
+        BatchNormalization(),
+        LeakyReLU(alpha=0.1))
+
+
+def bottleneck_block(outer_filters, bottleneck_filters):
+    """Bottleneck block of 3x3, 1x1, 3x3 convolutions."""
+    return compose(
+        DarknetConv2D_BN_Leaky(outer_filters, (3, 3)),
+        DarknetConv2D_BN_Leaky(bottleneck_filters, (1, 1)),
+        DarknetConv2D_BN_Leaky(outer_filters, (3, 3)))
+
+
+def bottleneck_x2_block(outer_filters, bottleneck_filters):
+    """Bottleneck block of 3x3, 1x1, 3x3, 1x1, 3x3 convolutions."""
+    return compose(
+        bottleneck_block(outer_filters, bottleneck_filters),
+        DarknetConv2D_BN_Leaky(bottleneck_filters, (1, 1)),
+        DarknetConv2D_BN_Leaky(outer_filters, (3, 3)))
+
+
+def darknet_body():
+    """Generate first 18 conv layers of Darknet-19."""
+    return compose(
+        DarknetConv2D_BN_Leaky(32, (3, 3)),
+        MaxPooling2D(),
+        DarknetConv2D_BN_Leaky(64, (3, 3)),
+        MaxPooling2D(),
+        bottleneck_block(128, 64),
+        MaxPooling2D(),
+        bottleneck_block(256, 128),
+        MaxPooling2D(),
+        bottleneck_x2_block(512, 256),
+        MaxPooling2D(),
+        bottleneck_x2_block(1024, 512))
+
+
+def darknet19(inputs):
+    """Generate Darknet-19 model for Imagenet classification."""
+    body = darknet_body()(inputs)
+    logits = DarknetConv2D(1000, (1, 1), activation='softmax')(body)
+    return Model(inputs, logits)