Commit 5604b072 authored by Muxin Liang's avatar Muxin Liang ⛹🏿 Committed by Mitar

ISI

parent eb030a28
......@@ -25,7 +25,7 @@
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}
},
"structural_type": "dsbox.datapreprocessing.featurizer.image.net_image_feature.Vgg16ImageFeature",
"digest": "cb15e65e45b8792e6204f8a12a62b0300ed3503614df92607254eab26866566c"
"digest": "357b04004096e18eccae68adc398a91e7f8728a391e84e0686ee9f4c75fc35f4"
}
......@@ -2,7 +2,7 @@
"id": "dsbox-featurizer-object-detection-yolo",
"version": "1.5.0",
"name": "DSBox Object Detection YOLO",
"description": "Object detection primitive that use YOLOv3 algorithm\noffical site available at : https://pjreddie.com/darknet/yolo/\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.\n\nParameters\n----------\ntarget_class_id: The id of the object detection targets\noutputlayer: The list of the output layer number from YOLO's DNN",
"description": "Object detection primitive that use YOLOv3 algorithm\noffical site available at : https://pjreddie.com/darknet/yolo/\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.\n\nParameters\n----------\ntarget_class_id: The id of the object detection targets\noutput_layer: The list of the output layer number from YOLO's DNN",
"python_path": "d3m.primitives.feature_extraction.yolo.DSBOX",
"primitive_family": "FEATURE_EXTRACTION",
"algorithm_types": [
......@@ -23,7 +23,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@4773deb3c7adc021fe863a6a78dd0977e82beb89#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@93674fdf69ae9659fc44dd04ea3d7277f7966d82#egg=dsbox-primitives"
}
],
"precondition": [],
......@@ -242,7 +242,7 @@
"iterations"
],
"returns": "d3m.primitive_interfaces.base.CallResult[NoneType]",
"description": "If using the pre-training model, here we will use this model to detect what inside the bounding boxes from training dataset\nThen, count the number of the objects deteced in each box, we will treat only the objects amount number larger than the threshold\nto be the target that we need to detect in the test part.\n\nParameters\n----------\ntimeout : float\n A maximum time this primitive should be fitting during this method call, in seconds.\niterations : int\n How many of internal iterations should the primitive do.\n\nReturns\n-------\nCallResult[None]\n A ``CallResult`` with ``None`` value."
"description": "If using the pre-training model, here we will use this model to detect what inside the bounding boxes from\ntraining dataset. Then, count the number of the objects detected in each box, we will treat only the objects\namount number larger than the threshold to be the target that we need to detect in the test part.\n\nParameters\n----------\ntimeout : float\n A maximum time this primitive should be fitting during this method call, in seconds.\niterations : int\n How many of internal iterations should the primitive do.\n\nReturns\n-------\nCallResult[None]\n A ``CallResult`` with ``None`` value."
},
"fit_multi_produce": {
"kind": "OTHER",
......@@ -316,10 +316,10 @@
},
"params": {
"target_class_id": "typing.List[int]",
"outputlayer": "typing.List[str]",
"output_layer": "typing.List[str]",
"target_column_name": "str"
}
},
"structural_type": "dsbox.datapreprocessing.featurizer.image.object_detection.Yolo",
"digest": "0b6c1d178a54097787235a8ad3c7f5ca911b258110148a03d4eef04f1cacf70a"
"digest": "ce97b1064ae308dd1d9853aad298e7052d6e23ffefe2022e68c3b188f3619111"
}
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@4773deb3c7adc021fe863a6a78dd0977e82beb89#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@93674fdf69ae9659fc44dd04ea3d7277f7966d82#egg=dsbox-primitives"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -223,5 +223,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.cleaner.denormalize.Denormalize",
"digest": "1fddcced28f386fcd1ff3b84287cc2608e226fea11d22f36e88bfd733384690c"
"digest": "4658319e941c565e4d7057a5c0a3d60972f0dc0f127bc09df03a0135319493bf"
}
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@4773deb3c7adc021fe863a6a78dd0977e82beb89#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@93674fdf69ae9659fc44dd04ea3d7277f7966d82#egg=dsbox-primitives"
}
],
"precondition": [
......@@ -301,5 +301,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.cleaner.IQRScaler.IQRScaler",
"digest": "86c6fee697c1935440ce6af24c04b6b4f3d227f3ad0d29b42bf1bc6b1125d76f"
"digest": "716dcd83ceb8171f88969e5cb451ade9025adc5b20c4c9c19d987dfcf9184426"
}
......@@ -23,7 +23,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@4773deb3c7adc021fe863a6a78dd0977e82beb89#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@93674fdf69ae9659fc44dd04ea3d7277f7966d82#egg=dsbox-primitives"
}
],
"precondition": [
......@@ -433,5 +433,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.featurizer.timeseries.auto_arima_predictor.AutoArima",
"digest": "69626abadb05db4e0967ba3b18a645d8112a961e2bc260bb329cf3d2c987e5d9"
"digest": "d4256806e7406c643c66c94e20ad4d0743f0d1a770af87d9aa018c65f82f876a"
}
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@4773deb3c7adc021fe863a6a78dd0977e82beb89#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/dsbox-primitives@93674fdf69ae9659fc44dd04ea3d7277f7966d82#egg=dsbox-primitives"
}
],
"precondition": [
......@@ -318,5 +318,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.featurizer.timeseries.RNN_timeseries.RNNTimeSeries",
"digest": "c7ae6a2bc03a78c7cbe2e6a23ebeee7671d83ac51faefd795ead8f7fa02846ba"
"digest": "e1f927ea1d40667407cd5d97f78fe5afccbac190b0abd6513d849d1634aec9dc"
}
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