Baek JeongHun
6593928855
Merge pull request #108 from akarazniewicz/device-model-mapping-for-CPU-inference
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Mapping loaded, pretrained model to actual device.
2019-11-11 21:18:02 +09:00
akarazniewicz
be128d4d9f
Mapping loaded, pretrained model to actual device. Required for CPU only inference.
2019-11-11 12:36:06 +01:00
Baek JeongHun
603d463e83
comment update
2019-11-04 04:52:51 +00:00
Baek JeongHun
f9d1795350
comment update
2019-11-04 04:34:06 +00:00
Baek JeongHun
1ef8f74224
comment update
2019-11-04 04:32:46 +00:00
Baek JeongHun
1863c76b6a
Merge pull request #99 from tgalkovskyi/master
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Sample ipython notebook demonstrating use of the code
2019-10-29 01:45:45 +09:00
Taras
9e5ae484c5
Sample ipython notebook demonstrating use of the code
2019-10-27 10:43:59 -04:00
Baek JeongHun
2ca716f98a
Update README.md
2019-10-23 15:57:07 +09:00
Baek JeongHun
9a3a14150c
Merge pull request #95 from varshaneya/master
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removed align_corners=True
2019-10-23 15:55:00 +09:00
varshaneya
53509eab01
removed align_corners=True
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Got this error in Pytorch 1.1.0:
TypeError: grid_sample() got an unexpected keyword argument 'align_corners'
2019-10-23 11:35:37 +05:30
Baek JeongHun
9a6f6678b1
pad update
2019-10-23 05:39:34 +00:00
Baek JeongHun
a19dc0f169
ctc fix..
2019-10-22 17:49:52 +00:00
Baek JeongHun
8749902367
ctc update
2019-10-22 17:26:58 +00:00
Baek JeongHun
ec5319296b
arrange
2019-10-22 13:58:23 +00:00
Baek JeongHun
1493d2e8cd
Update README.md
2019-10-22 21:01:25 +09:00
Baek JeongHun
e8b465d477
add confidence score
2019-10-22 11:46:45 +00:00
Baek JeongHun
4381a5fb46
Merge pull request #91 from edwardpwtsoi/master
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updated grid_sample arg align_corners=True
2019-10-22 14:31:26 +09:00
edwardpwtsoi
f5cf8555ef
updated grid_sample arg align_corners=True
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UserWarning: Default grid_sample and affine_grid behavior will be changed to align_corners=False from 1.4.0. See the documentation of grid_sample for details.
2019-10-13 20:57:50 +08:00
Baek JeongHun
ff7f7dbd71
Update README.md
2019-10-10 17:16:32 +09:00
Baek JeongHun
6dc16df598
(ctc_a) (ctc_b) and fine tuning
2019-10-07 05:33:44 +00:00
Baek JeongHun
e34c99c386
Update README.md
2019-10-03 16:59:42 +09:00
Baek JeongHun
7a8717eb50
Update README.md
2019-10-03 15:41:40 +09:00
Baek JeongHun
f2c54ae2a4
Delete trade-off.jpg
2019-10-03 15:22:38 +09:00
Baek JeongHun
464b3395df
Update README.md
2019-10-03 15:21:42 +09:00
Baek JeongHun
6985b0fa0a
Add files via upload
2019-10-03 15:21:03 +09:00
Baek JeongHun
1d85fca2c3
Update README.md
2019-10-01 12:02:39 +09:00
Baek JeongHun
235095fc9a
Update transformation.py
2019-09-27 18:06:16 +09:00
Baek JeongHun
fc62d2232d
'minor'
2019-08-10 18:29:40 +09:00
Baek JeongHun
1c6efa5218
'fix_ctc_loss_issue'
2019-08-07 16:42:42 +09:00
Baek JeongHun
8f7255fb4b
.cuda() to .to(device)
2019-08-03 08:03:46 +00:00
Baek JeongHun
7498f48452
no_grad instead of requires_grad False
2019-08-03 06:55:32 +00:00
Baek JeongHun
d62daf3baa
Merge pull request #48 from YacobBY/patch-2
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replaced deprecated fromstring() with frombuffer()
2019-08-03 15:04:38 +09:00
Yacob
cbc1d9df0f
replaced deprecated fromstring() with frombuffer()
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Kept seeing
`DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead imageBuf = np.fromstring(imageBin, dtype=np.uint8)`, this fixes the issue.
2019-08-01 16:28:41 +02:00
Baek JeongHun
9128831f7b
Update README.md
2019-08-01 12:03:40 +09:00
Baek JeongHun
b3b3889295
Merge pull request #46 from coallaoh/patch-1
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Update README.md
2019-08-01 12:03:07 +09:00
Seong Joon Oh
42d9506787
Update README.md
2019-08-01 08:26:31 +09:00
Baek JeongHun
533fdf01ba
fix encode with batch_max_length
2019-07-31 08:04:56 +00:00
Baek JeongHun
bda81065a5
fix encode with batch_max_length
2019-07-31 08:03:53 +00:00
Baek JeongHun
a239f46df3
'fix'
2019-07-26 15:02:05 +09:00
Baek JeongHun
c189d3d8dc
Update README.md
2019-07-25 01:27:24 +09:00
Baek JeongHun
7b938741bd
.
2019-07-24 16:20:25 +00:00
Baek JeongHun
5d4ed385f4
Merge pull request #36 from YacobBY/patch-1
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Nvidia Apex for FP16 calculations
2019-07-25 00:35:01 +09:00
Yacob
2d45ba2fab
use amp grad clipping
2019-07-24 14:42:25 +02:00
Yacob
a0f43fa0c0
Nvidia Apex for FP16 calculations
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Included Compatibility with the Nvidia's Apex library, which can do Floating Point16 calculations. This gives significant speedup in training. This code has been tested on a single RTX2070. If the Nvidia Apex library is not found the code should run as normal.
To install Apex: https://github.com/NVIDIA/apex#quick-start
Known bugs:
-Does not work with adam parameter
-Gradient overflow keeps happening at the start, however it automatically reduces loss scale to 8192 after which this notification disappears
examples:
Loading: https://i.imgur.com/3nZROJz.png
Training: https://i.imgur.com/Q2w52m7.png
2019-07-23 15:51:26 +02:00
Baek JeongHun
40a4100df6
update data_filtering
2019-07-17 05:41:34 +00:00
Baek JeongHun
f551679a0a
update data_filtering
2019-07-17 05:34:10 +00:00
Baek JeongHun
ea3e322de9
Update README.md
2019-07-16 22:28:08 +09:00
Baek JeongHun
dd18436360
--data_filtering_off
2019-07-16 10:04:20 +00:00
Baek JeongHun
c3e07b538a
fix minor
2019-07-16 03:30:44 +00:00
Baek JeongHun
f15051a493
add data_filtering mode
2019-07-15 05:33:37 +00:00