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JeVoisBase
1.23
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | |
| __init__ (self, root, size=None, dim='chw', mean=0.0, std=1.0, swapRB=False, toFP32=False) | |
| load_image_list (self, path) | |
| __getitem__ (self, idx) | |
| __len__ (self) | |
Public Attributes | |
| root | |
| size | |
| dim | |
| mean | |
| std | |
| swapRB | |
| toFP32 | |
| image_list | |
Static Public Attributes | |
| models | |
Definition at line 30 of file quantize-inc.py.
| quantize-inc.Dataset.__init__ | ( | self, | |
| root, | |||
size = None, |
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dim = 'chw', |
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mean = 0.0, |
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std = 1.0, |
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swapRB = False, |
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toFP32 = False |
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| ) |
Definition at line 31 of file quantize-inc.py.
| quantize-inc.Dataset.__getitem__ | ( | self, | |
| idx | |||
| ) |
Definition at line 50 of file quantize-inc.py.
References quantize-inc.Dataset.dim, quantize-inc.Dataset.image_list, mobilenet_v1.MobileNetV1.mean, mobilenet_v2.MobileNetV2.mean, quantize-inc.Dataset.mean, transform.Normalize.mean, PyPreBlob.PyPreBlob.mean, PyClassificationDNN.PyClassificationDNN.mean, PyDetectionDNN.PyDetectionDNN.mean, PyEmotion.PyEmotion.mean, jevois::BoundedBuffer< cv::Mat, jevois::BlockingBehavior::Block, jevois::BlockingBehavior::Block >.size(), jevois::BoundedBuffer< jevois::RawImage, BlockingBehavior::Block, BlockingBehavior::Block >.size(), jevois::BoundedBuffer< typename T, BlockingBehavior WhenFull, BlockingBehavior WhenEmpty >.size(), jevois::VideoBuffers.size(), quantize-inc.Dataset.size, transform.Resize.size, transform.CenterCrop.size, mobilenet_v1.MobileNetV1.std, mobilenet_v2.MobileNetV2.std, quantize-inc.Dataset.std, transform.Normalize.std, quantize-inc.Dataset.swapRB, and quantize-inc.Dataset.toFP32.
| quantize-inc.Dataset.__len__ | ( | self | ) |
Definition at line 70 of file quantize-inc.py.
References quantize-inc.Dataset.image_list.
| quantize-inc.Dataset.load_image_list | ( | self, | |
| path | |||
| ) |
Definition at line 42 of file quantize-inc.py.
| quantize-inc.Dataset.dim |
Definition at line 34 of file quantize-inc.py.
Referenced by quantize-inc.Dataset.__getitem__().
| quantize-inc.Dataset.image_list |
Definition at line 40 of file quantize-inc.py.
Referenced by quantize-inc.Dataset.__getitem__(), and quantize-inc.Dataset.__len__().
| quantize-inc.Dataset.mean |
Definition at line 35 of file quantize-inc.py.
Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), mobilenet_v2.MobileNetV2._preprocess(), PyPreBlob.PyPreBlob.process(), PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().
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static |
Definition at line 73 of file quantize-inc.py.
| quantize-inc.Dataset.root |
Definition at line 32 of file quantize-inc.py.
| quantize-inc.Dataset.size |
Definition at line 33 of file quantize-inc.py.
Referenced by transform.Resize.__call__(), transform.CenterCrop.__call__(), and quantize-inc.Dataset.__getitem__().
| quantize-inc.Dataset.std |
Definition at line 36 of file quantize-inc.py.
Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), and mobilenet_v2.MobileNetV2._preprocess().
| quantize-inc.Dataset.swapRB |
Definition at line 37 of file quantize-inc.py.
Referenced by quantize-inc.Dataset.__getitem__().
| quantize-inc.Dataset.toFP32 |
Definition at line 38 of file quantize-inc.py.
Referenced by quantize-inc.Dataset.__getitem__().