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[fix] integer convolution and unsplit (#18)
* [fix] integer convolution on * [add] add pandaset from m73270 * [fix] integer_conv_weight=True for panoptic segmentation * [fix] integer_conv_weight=False
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cfgs/vision_model/default.yaml

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@@ -34,6 +34,7 @@ panoptic_rcnn_R_101_FPN_3x:
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model_path_prefix: ${..model_root_path}
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cfg: "models/detectron2/configs/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x.yaml"
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weights: "weights/detectron2/COCO-PanopticSegmentation/panoptic_fpn_R_101_3x/139514519/model_final_cafdb1.pkl"
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integer_conv_weight: False
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splits : "fpn"
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jde_1088x608:

scripts/evaluation/default_vision_performances.sh

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@@ -40,6 +40,7 @@ MPEG_OIV6_SRC="${TESTDATA_DIR}/mpeg-oiv6"
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SFU_HW_SRC="${TESTDATA_DIR}/SFU_HW_Obj"
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HIEVE_SRC="${TESTDATA_DIR}/HiEve_pngs"
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TVD_SRC="${TESTDATA_DIR}/tvd_tracking"
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PANDASET_SRC="${TESTDATA_DIR}/PandaSet"
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# MPEGOIV6 - Detection with Faster RCNN
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${ENTRY_CMD} --config-name=${CONF_NAME}.yaml \
@@ -162,3 +163,61 @@ do
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++pipeline.nn_task_part2.dump_features=False \
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++misc.device.nn_parts=${DEVICE}
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done
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# PANDASET - Semantic Segmentation with Pandaset
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for SEQ in \
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'003' \
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'011' \
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do
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${ENTRY_CMD} --config-name=${CONF_NAME}.yaml \
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++pipeline.type=video \
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++pipeline.conformance.save_conformance_files=True \
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++pipeline.conformance.subsample_ratio=9 \
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++vision_model.arch=panoptic_rcnn_R_101_FPN_3x \
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++dataset.type=Detectron2Dataset \
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++dataset.datacatalog=PANDASET \
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++dataset.config.root=${PANDASET_SRC}/${SEQ} \
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++dataset.config.imgs_folder=camera/front_camera \
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++dataset.config.ext=jpg \
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++dataset.config.annotation_file=annotations/${SEQ}.npz \
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++dataset.config.dataset_name=pandaset-${SEQ} \
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++evaluator.type=SEMANTICSEG-EVAL \
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++pipeline.nn_task_part1.load_features=False \
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++pipeline.nn_task_part1.dump_features=False \
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++pipeline.nn_task_part2.dump_features=False \
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++misc.device.nn_parts=${DEVICE}
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done

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