[web_demo](web_demo) uses a `localhost` service to classify
and visualize the results of image classification.
-* [DiCaprio celebrity face sample](web_demo/images/face_DiCaprio.jpg) ([wikimedia source](https://en.wikipedia.org/wiki/Celebrity#/media/File:Leonardo_DiCaprio_visited_Goddard_Saturday_to_discuss_Earth_science_with_Piers_Sellers_(26105091624)_cropped.jpg))
-* [Schwarzenegger celebrity face sample](web_demo/images/face_Schwarzenegger.jpg) ([wikimedia source](https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/A._Schwarzenegger.jpg/220px-A._Schwarzenegger.jpg))
* [Commercial example](web_demo/images/commercial.jpg) ([youtube source](https://www.youtube.com/watch?v=34KfCNapnUg))
* [Reunion face sample](web_demo/images/face_reunion.jpg) ([flickr source](https://flic.kr/p/bEgYbs))
+* [family face example](web_demo/images/face_family.jpg) ([pexel source](https://www.pexels.com/photo/adult-affection-beautiful-beauty-265764/))
+* [DiCaprio celebrity face sample](web_demo/images/face_DiCaprio.jpg) ([wikimedia source](https://en.wikipedia.org/wiki/Celebrity#/media/File:Leonardo_DiCaprio_visited_Goddard_Saturday_to_discuss_Earth_science_with_Piers_Sellers_(26105091624)_cropped.jpg))
+* [Schwarzenegger celebrity face sample](web_demo/images/face_Schwarzenegger.jpg) ([wikimedia source](https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/A._Schwarzenegger.jpg/220px-A._Schwarzenegger.jpg))
before | after
------- | -------
 | 
- | 
+ | 
# -*- coding: utf-8 -*-
-__version__ = "0.1.1"
+__version__ = "0.1.3"
MODEL_NAME = 'face_privacy_filter'
pipeline, EXTRA_DEPS = model_create_pipeline(transform, "detect")
# formulate the pipeline to be used
+ model_name = MODEL_NAME+"_"+config['function']
if 'push_address' in config and config['push_address']:
from cognita_client.push import push_sklearn_model # push_skkeras_hybrid_model (keras?)
print("Pushing new model to '{:}'...".format(config['push_address']))
- push_sklearn_model(pipeline, inputDf, api=config['push_address'], name=MODEL_NAME, extra_deps=EXTRA_DEPS)
+ push_sklearn_model(pipeline, inputDf, api=config['push_address'], name=model_name, extra_deps=EXTRA_DEPS)
if 'dump_model' in config and config['dump_model']:
from cognita_client.wrap.dump import dump_sklearn_model # dump_skkeras_hybrid_model (keras?)
print("Dumping new model to '{:}'...".format(config['dump_model']))
- dump_sklearn_model(pipeline, inputDf, config['dump_model'], name=MODEL_NAME, extra_deps=EXTRA_DEPS)
+ dump_sklearn_model(pipeline, inputDf, config['dump_model'], name=model_name, extra_deps=EXTRA_DEPS)
else:
if not config['dump_model'] or not os.path.exists(config['dump_model']):
# cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
return faces
-# FaceDetectTransform.__module__ = '__main__'
+# FaceDetectTransform.__module__ = '__main__'
\ No newline at end of file
<span><a href="https://flic.kr/p/bEgYbs" target="_new">flickr source</a></span>\r
</div>\r
<div>\r
- <img src="images/commercial.jpg" movie="images/commercial.mp4" />\r
- <span><a href="https://www.youtube.com/watch?v=34KfCNapnUg" target="_new">youtube source</a></span>\r
+ <img src="images/face_family.jpg" />\r
+ <span><a href="https://www.pexels.com/photo/adult-affection-beautiful-beauty-265764/" target="_new">pexels source</a></span>\r
</div>\r
<div>\r
- <img src="images/face_DiCaprio.jpg" />\r
- <span><a href="https://en.wikipedia.org/wiki/Celebrity#/media/File:Leonardo_DiCaprio_visited_Goddard_Saturday_to_discuss_Earth_science_with_Piers_Sellers_(26105091624)_cropped.jpg" target="_new">wikipedia source</a></span>\r
+ <img src="images/commercial.jpg" movie="images/commercial.mp4" />\r
+ <span><a href="https://www.youtube.com/watch?v=34KfCNapnUg" target="_new">youtube source</a></span>\r
</div>\r
<div>\r
<img src="images/face_Schwarzenegger.jpg" />\r