Hatsune Miku (初音ミク), © Crypton Future Media, INC., http://piapro.net/en_for_creators.html. This image is licensed under the Creative Commons - Attribution-NonCommercial, 3.0 Unported (CC BY-NC).
- Ailia input shape: (1, 3, 224, 224)
- Estimating Tag Mode
[{'character': [('hatsune miku', 0.9999994039535522)],
'copyright': [('vocaloid', 0.9999998807907104)],
'general': [('thighhighs', 0.9957002997398376),
('1girl', 0.9873842000961304),
('twintails', 0.9814184308052063),
('solo', 0.9636198878288269),
('aqua hair', 0.9165698885917664),
('long hair', 0.8823321461677551),
('very long hair', 0.8341774940490723),
('detached sleeves', 0.7452000975608826),
('skirt', 0.6787945628166199),
('necktie', 0.5615589618682861),
('aqua eyes', 0.552979588508606)],
'rating': [('safe', 0.9787901043891907),
('questionable', 0.020344465970993042),
('explicit', 0.0006209250423125923)]}]- Extracting Feature Vector Mode
[[ 7.4673967 3.6940672 0.53971916 ... -0.08819806 2.720264
7.3380337 ]]Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.
For the sample image,
$ python3 illustration2vec.pyIf you want to specify the input image, put the image path after the --input option.
$ python3 illustration2vec.py --input IMAGE_PATHBy adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 illustration2vec.py --video VIDEO_PATHThe default mode is to predict the tag, but you can switch to the mode to extract the feature vector
by specifying --featurevec.
$ python3 illustration2vec --featurevecCaffe
ONNX opset = 10