change instance threshold default for pifpaf 0.8
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@ -108,8 +108,8 @@ If it does not find the file, it will generate images
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with all the predictions without ground-truth matching.
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Below an example with and without ground-truth matching. They have been created (adding or removing `--path_gt`) with:
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`python3 -m monoloco.run predict --networks monoloco --glob docs/002282.png --output_types combined --scale 2
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--model data/models/monoloco-190513-1437.pkl --n_dropout 50 --z_max 30 instance-threshold 0.15`
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`python3 -m monoloco.run predict --glob docs/002282.png --output_types combined --scale 2
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--model data/models/monoloco-190513-1437.pkl --n_dropout 50 --z_max 30`
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With ground truth matching (only matching people):
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@ -122,7 +122,7 @@ To accurately estimate distance, the focal length is necessary.
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However, it is still possible to test Monoloco on images where the calibration matrix is not available.
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Absolute distances are not meaningful but relative distance still are.
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Below an example on a generic image from the web, created with:
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`python3 -m monoloco.run predict --networks monoloco --glob docs/surf.jpg --output_types combined --model data/models/monoloco-190513-1437.pkl --n_dropout 100 --z_max 25`
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`python3 -m monoloco.run predict --glob docs/surf.jpg --output_types combined --model data/models/monoloco-190513-1437.pkl --n_dropout 50 --z_max 25`
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@ -39,7 +39,7 @@ def cli():
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# Pifpaf
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nets.cli(predict_parser)
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decoder.cli(predict_parser, force_complete_pose=True, instance_threshold=0.1)
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decoder.cli(predict_parser, force_complete_pose=True, instance_threshold=0.15)
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predict_parser.add_argument('--scale', default=1.0, type=float, help='change the scale of the image to preprocess')
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# Monoloco
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