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fix: README.md typing errors #388

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327e1ba
fix: README.md typing errors
rapsealk Dec 5, 2018
25a594b
init raccoon
rapsealk Dec 5, 2018
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1 change: 1 addition & 0 deletions .gitignore
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@@ -0,0 +1 @@
__pycache__/
6 changes: 3 additions & 3 deletions README.md
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# YOLOv2 in Keras and Applications

This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend. It supports training YOLOv2 network with various backends such as MobileNet and InceptionV3. Links to demo applications are shown below. Check out https://experiencor.github.io/yolo_demo/demo.html for a Raccoon Detector demo run entirely in brower with DeepLearn.js and MobileNet backend (it somehow breaks in Window). Source code of this demo is located at https://git.io/vF7vG.
This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend. It supports training YOLOv2 network with various backends such as MobileNet and InceptionV3. Links to demo applications are shown below. Check out https://experiencor.github.io/yolo_demo/demo.html for a Raccoon Detector demo run entirely in browser with DeepLearn.js and MobileNet backend (it somehow breaks in Window). Source code of this demo is located at https://git.io/vF7vG.

## Todo list:
- [x] Warmup training
Expand Down Expand Up @@ -42,7 +42,7 @@ Dataset => http://cvrr.ucsd.edu/vivachallenge/index.php/hands/hand-detection/

### 0. Requirement

python 2.7
python 2.7 or python 3.6

keras >= 2.0.8

Expand All @@ -69,7 +69,7 @@ The configuration file is a json file, which looks like this:
```python
{
"model" : {
"architecture": "Full Yolo", # "Tiny Yolo" or "Full Yolo" or "MobileNet" or "SqueezeNet" or "Inception3"
"backend": "Full Yolo", # "Tiny Yolo" or "Full Yolo" or "MobileNet" or "SqueezeNet" or "Inception3"
"input_size": 416,
"anchors": [0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828],
"max_box_per_image": 10,
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2 changes: 1 addition & 1 deletion backend.py
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Expand Up @@ -164,7 +164,7 @@ def space_to_depth_x2(x):
x = LeakyReLU(alpha=0.1)(x)

self.feature_extractor = Model(input_image, x)
self.feature_extractor.load_weights(FULL_YOLO_BACKEND_PATH)
# self.feature_extractor.load_weights(FULL_YOLO_BACKEND_PATH)

def normalize(self, image):
return image / 255.
Expand Down
14 changes: 7 additions & 7 deletions config.json
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Expand Up @@ -4,26 +4,26 @@
"input_size": 416,
"anchors": [0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828],
"max_box_per_image": 10,
"labels": ["kangaroo"]
"labels": ["raccoon"]
},

"train": {
"train_image_folder": "/home/andy/data/kangaroo/images/",
"train_annot_folder": "/home/andy/data/kangaroo/annots/",
"train_image_folder": "./train_image_folder/",
"train_annot_folder": "./train_annot_folder/",

"train_times": 8,
"pretrained_weights": "full_yolo_kangaroo3.h5",
"pretrained_weights": "",
"batch_size": 16,
"learning_rate": 1e-4,
"nb_epochs": 1,
"nb_epochs": 50,
"warmup_epochs": 3,

"object_scale": 5.0 ,
"no_object_scale": 1.0,
"coord_scale": 1.0,
"class_scale": 1.0,

"saved_weights_name": "full_yolo_kangaroo.h5",
"saved_weights_name": "full_yolo_raccoon.h5",
"debug": true
},

Expand Down
9 changes: 9 additions & 0 deletions preprocessing.py
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Expand Up @@ -57,6 +57,15 @@ def parse_annotation(ann_dir, img_dir, labels=[]):

return all_imgs, seen_labels

def parse_annotation_json(ann_dir, img_dir, labels=[]):
all_imgs = []
seen_labels = []

for ann in sorted(os.listdir(ann_dir)):
img = { 'object': [] }

pass

class BatchGenerator(Sequence):
def __init__(self, images,
config,
Expand Down
4 changes: 2 additions & 2 deletions requirements.txt
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@@ -1,5 +1,5 @@
tensorflow-gpu==1.3
keras==2.0.8
tensorflow-gpu
keras
imgaug
opencv-python
h5py
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-1.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-1.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-1.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>650</width>
<height>417</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>81</xmin>
<ymin>88</ymin>
<xmax>522</xmax>
<ymax>408</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-10.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-10.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-10.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>450</width>
<height>495</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>130</xmin>
<ymin>2</ymin>
<xmax>446</xmax>
<ymax>488</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-100.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-100.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-100.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>960</width>
<height>576</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>548</xmin>
<ymin>10</ymin>
<xmax>954</xmax>
<ymax>520</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-101.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-101.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-101.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>640</width>
<height>426</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>86</xmin>
<ymin>53</ymin>
<xmax>400</xmax>
<ymax>356</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-102.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-102.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-102.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>259</width>
<height>194</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>1</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>1</xmin>
<ymin>1</ymin>
<xmax>118</xmax>
<ymax>152</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-103.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-103.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-103.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>480</width>
<height>640</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>92</xmin>
<ymin>54</ymin>
<xmax>460</xmax>
<ymax>545</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-104.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-104.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-104.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>600</width>
<height>304</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>189</xmin>
<ymin>41</ymin>
<xmax>340</xmax>
<ymax>249</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-105.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-105.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-105.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>720</width>
<height>960</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>250</xmin>
<ymin>49</ymin>
<xmax>714</xmax>
<ymax>869</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-106.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-106.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-106.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>269</width>
<height>187</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>31</xmin>
<ymin>21</ymin>
<xmax>226</xmax>
<ymax>146</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-107.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-107.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-107.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>500</width>
<height>622</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>165</xmin>
<ymin>51</ymin>
<xmax>496</xmax>
<ymax>590</ymax>
</bndbox>
</object>
</annotation>
26 changes: 26 additions & 0 deletions train_annot_folder/raccoon-108.xml
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<annotation verified="yes">
<folder>images</folder>
<filename>raccoon-108.jpg</filename>
<path>/Users/datitran/Desktop/raccoon/images/raccoon-108.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>604</width>
<height>481</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>raccoon</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>99</xmin>
<ymin>53</ymin>
<xmax>402</xmax>
<ymax>464</ymax>
</bndbox>
</object>
</annotation>
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