mediapipe_model_maker.object_detector.SupportedModels
Predefined object detector model specs supported by Model Maker.
Supported models include the following:
- MOBILENET_V2: MobileNetV2 256x256 input
- MOBILENET_V2_I320: MobileNetV2 320x320 input
- MOBILENET_MULTI_AVG: MobileNet-MultiHW-AVG 256x256 input
- MOBILENET_MULTI_AVG_I384: MobileNet-MultiHW-AVG 384x384 input
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MOBILENET_MULTI_AVG
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<SupportedModels.MOBILENET_MULTI_AVG: functools.partial(<class 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'>, downloaded_files=DownloadedFiles(path='object_detector/mobilenetmultiavg', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv3.5_ssd_coco/mobilenetv3.5_ssd_i256_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[256, 256, 3], model_id='MobileNetMultiAVG', min_level=3, max_level=7)>
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MOBILENET_MULTI_AVG_I384
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<SupportedModels.MOBILENET_MULTI_AVG_I384: functools.partial(<class 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'>, downloaded_files=DownloadedFiles(path='object_detector/mobilenetmultiavg_i384', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv3.5_ssd_i384_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[384, 384, 3], model_id='MobileNetMultiAVG', min_level=3, max_level=7)>
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MOBILENET_V2
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<SupportedModels.MOBILENET_V2: functools.partial(<class 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'>, downloaded_files=DownloadedFiles(path='object_detector/mobilenetv2_i256', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i256_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[256, 256, 3], model_id='MobileNetV2', min_level=3, max_level=7)>
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MOBILENET_V2_I320
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<SupportedModels.MOBILENET_V2_I320: functools.partial(<class 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'>, downloaded_files=DownloadedFiles(path='object_detector/mobilenetv2_i320', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i320_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[320, 320, 3], model_id='MobileNetV2', min_level=3, max_level=6)>
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Last updated 2024-05-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-07 UTC."],[],[],null,["# mediapipe_model_maker.object_detector.SupportedModels\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/mediapipe/blob/master/mediapipe/model_maker/python/vision/object_detector/model_spec.py#L109-L129) |\n\nPredefined object detector model specs supported by Model Maker.\n\nSupported models include the following:\n\n- MOBILENET_V2: MobileNetV2 256x256 input\n- MOBILENET_V2_I320: MobileNetV2 320x320 input\n- MOBILENET_MULTI_AVG: MobileNet-MultiHW-AVG 256x256 input\n- MOBILENET_MULTI_AVG_I384: MobileNet-MultiHW-AVG 384x384 input\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|--------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| MOBILENET_MULTI_AVG | `\u003cSupportedModels.MOBILENET_MULTI_AVG: functools.partial(\u003cclass 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'\u003e, downloaded_files=DownloadedFiles(path='object_detector/mobilenetmultiavg', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv3.5_ssd_coco/mobilenetv3.5_ssd_i256_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[256, 256, 3], model_id='MobileNetMultiAVG', min_level=3, max_level=7)\u003e` |\n| MOBILENET_MULTI_AVG_I384 | `\u003cSupportedModels.MOBILENET_MULTI_AVG_I384: functools.partial(\u003cclass 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'\u003e, downloaded_files=DownloadedFiles(path='object_detector/mobilenetmultiavg_i384', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv3.5_ssd_i384_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[384, 384, 3], model_id='MobileNetMultiAVG', min_level=3, max_level=7)\u003e` |\n| MOBILENET_V2 | `\u003cSupportedModels.MOBILENET_V2: functools.partial(\u003cclass 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'\u003e, downloaded_files=DownloadedFiles(path='object_detector/mobilenetv2_i256', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i256_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[256, 256, 3], model_id='MobileNetV2', min_level=3, max_level=7)\u003e` |\n| MOBILENET_V2_I320 | `\u003cSupportedModels.MOBILENET_V2_I320: functools.partial(\u003cclass 'mediapipe_model_maker.python.vision.object_detector.model_spec.ModelSpec'\u003e, downloaded_files=DownloadedFiles(path='object_detector/mobilenetv2_i320', url='https://storage.googleapis.com/tf_model_garden/vision/qat/mobilenetv2_ssd_coco/mobilenetv2_ssd_i320_ckpt.tar.gz', is_folder=True), checkpoint_name='ckpt-277200', input_image_shape=[320, 320, 3], model_id='MobileNetV2', min_level=3, max_level=6)\u003e` |\n\n\u003cbr /\u003e"]]
View source on GitHub