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results.txt
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Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1218 22:14:15.121675 3061 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1218 22:14:15.125990 3061 device_context.cc:465] device: 0, cuDNN Version: 7.6.
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 263160/263160 [00:06<00:00, 38662.05it/s]
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [31:22<00:00, 1.93it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:01<00:00, 53.08it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 3.96it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 3.95it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 3.95it/s]
==================== Results ====================
Easy Val AP: 0.7564373927615888
Medium Val AP: 0.7411127355485136
Hard Val AP: 0.6062013163122759
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1218 22:46:48.155794 6159 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1218 22:46:48.160056 6159 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:39<00:00, 1.96it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 85.40it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 4.02it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 4.02it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 4.03it/s]
==================== Results ====================
Easy Val AP: 0.8133379398474705
Medium Val AP: 0.8030397895260986
Hard Val AP: 0.6833412658073962
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1218 23:18:28.778678 9202 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1218 23:18:28.782864 9202 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:52<00:00, 1.95it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 62.01it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.76it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.73it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.74it/s]
==================== Results ====================
Easy Val AP: 0.9008357852299672
Medium Val AP: 0.8882566395230607
Hard Val AP: 0.7754655043539365
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1218 23:50:26.276742 12399 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1218 23:50:26.280791 12399 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [31:21<00:00, 1.92it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 75.07it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.79it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.75it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.76it/s]
==================== Results ====================
Easy Val AP: 0.9045175377697522
Medium Val AP: 0.8941657954225726
Hard Val AP: 0.7790292212229917
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 00:22:52.903762 15704 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 00:22:52.907896 15704 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:48<00:00, 1.95it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 61.76it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:18<00:00, 3.58it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:18<00:00, 3.56it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:18<00:00, 3.57it/s]
==================== Results ====================
Easy Val AP: 0.9035728301846054
Medium Val AP: 0.8935092441864487
Hard Val AP: 0.7854179191558606
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 00:54:50.337692 18910 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 00:54:50.341508 18910 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:45<00:00, 1.80it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 67.47it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.69it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.71it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.67it/s]
==================== Results ====================
Easy Val AP: 0.9032919990201894
Medium Val AP: 0.8945678213594809
Hard Val AP: 0.7846392233703465
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 01:26:42.073204 22169 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 01:26:42.077163 22169 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:42<00:00, 1.95it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 73.99it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.64it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.72it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.75it/s]
==================== Results ====================
Easy Val AP: 0.9050162695143077
Medium Val AP: 0.896172111245138
Hard Val AP: 0.7823840679504529
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 01:58:30.176143 25379 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 01:58:30.179991 25379 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:52<00:00, 1.94it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 63.80it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.68it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.65it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:18<00:00, 3.69it/s]
==================== Results ====================
Easy Val AP: 0.9062028190766006
Medium Val AP: 0.8958004420256771
Hard Val AP: 0.7892988608918371
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 02:30:30.393951 28634 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 02:30:30.397771 28634 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:44<00:00, 1.94it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 70.22it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.90it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 3.90it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:16<00:00, 3.90it/s]
==================== Results ====================
Easy Val AP: 0.9033007100050027
Medium Val AP: 0.894598131980632
Hard Val AP: 0.7857864702381127
=================================================
Dataset loaded
3226 samples in the val dataset
Dataset loaded
3226 samples in the val dataset
W1219 03:02:19.400871 31809 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1219 03:02:19.405082 31809 device_context.cc:465] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/framework/io.py:415: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if isinstance(obj, collections.Iterable) and not isinstance(obj, (
0%| | 0/3226 [00:00<?, ?it/s]/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/framework.py:744: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif dtype == np.bool:
/home/aistudio/Tiny-Face-Paddle/trainer.py:104: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.int(min_side*scale))
/home/aistudio/Tiny-Face-Paddle/utils/nms.py:35: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(keep).astype(np.int)
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3226/3226 [30:50<00:00, 1.95it/s]
evaluation.py:14: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
from bbox import bbox_overlaps
Reading Predictions : 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:00<00:00, 63.32it/s]
Processing easy: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.71it/s]
Processing medium: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:18<00:00, 3.68it/s]
Processing hard: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 61/61 [00:17<00:00, 3.70it/s]
==================== Results ====================
Easy Val AP: 0.9005881720045298
Medium Val AP: 0.892403904588883
Hard Val AP: 0.782829045768721
=================================================