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55416643
编写于
10月 13, 2020
作者:
A
A. Unique TensorFlower
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official/vision/beta/MODEL_GARDEN.md
official/vision/beta/MODEL_GARDEN.md
+7
-4
official/vision/beta/configs/experiments/retinanet/coco_spinenet143_tpu.yaml
...a/configs/experiments/retinanet/coco_spinenet143_tpu.yaml
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official/vision/beta/configs/experiments/retinanet/coco_spinenet49_tpu.yaml
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official/vision/beta/configs/experiments/retinanet/coco_spinenet96_tpu.yaml
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未找到文件。
official/vision/beta/MODEL_GARDEN.md
浏览文件 @
55416643
...
...
@@ -49,12 +49,15 @@ TF Vision model garden provides a large collection of baselines and checkpoints
| R50-FPN | 640x640 | 12 | 97.0 | 34.0 | 34.3 | config|
| R50-FPN | 640x640 | 36 | 97.0 | 34.0 | 37.3 | config|
#### RetinaNet (Trained from scratch)
#### RetinaNet (Trained from scratch) with training features including:
*
Stochastic depth with drop rate 0.2.
*
Swish activation.
| backbone | resolution | epochs | FLOPs (B) | params (M) | box AP | download |
| ------------ |:-------------:| ---------:|-----------:|--------:|---------:|-----------:|
| SpineNet-49 | 640x640 |
350 | 85.4| 28.5 | 42.4| config
|
| SpineNet-96 | 1024x1024 |
350 | 265.4 | 43.0 | 46.0 | config
|
| SpineNet-143 | 1280x1280 |
350 | 524.0 | 67.0 | 46.8 |config
|
| SpineNet-49 | 640x640 |
500 | 85.4| 28.5 | 44.2 |
[
config
](
https://github.com/tensorflow/models/blob/master/official/vision/beta/configs/experiments/retinanet/coco_spinenet49_tpu.yaml
)
|
| SpineNet-96 | 1024x1024 |
500 | 265.4 | 43.0 | 48.5 |
[
config
](
https://github.com/tensorflow/models/blob/master/official/vision/beta/configs/experiments/retinanet/coco_spinenet96_tpu.yaml
)
|
| SpineNet-143 | 1280x1280 |
500 | 524.0 | 67.0 | 50.0 |
[
config
](
https://github.com/tensorflow/models/blob/master/official/vision/beta/configs/experiments/retinanet/coco_spinenet143_tpu.yaml
)
|
### Instance Segmentation Baselines
...
...
official/vision/beta/configs/experiments/retinanet/coco_spinenet143_tpu.yaml
浏览文件 @
55416643
# SpineNet-143 COCO detection with protocal C config. Expecting 50.0% AP.
runtime
:
distribution_strategy
:
'
tpu'
mixed_precision_dtype
:
'
bfloat16'
task
:
annotation_file
:
'
/readahead/200M/placer/prod/home/snaggletooth/test/data/coco/instances_val2017.json'
gradient_clip_norm
:
0.0
gradient_clip_norm
:
1
0.0
losses
:
l2_weight_decay
:
4.0e-05
model
:
...
...
official/vision/beta/configs/experiments/retinanet/coco_spinenet49_tpu.yaml
浏览文件 @
55416643
# SpineNet-49 COCO detection with protocal C config. Expecting 44.2% AP.
runtime
:
distribution_strategy
:
'
tpu'
mixed_precision_dtype
:
'
bfloat16'
...
...
official/vision/beta/configs/experiments/retinanet/coco_spinenet96_tpu.yaml
浏览文件 @
55416643
# SpineNet-96 COCO detection with protocol C config. Expecting 48.5% AP.
runtime
:
distribution_strategy
:
'
tpu'
mixed_precision_dtype
:
'
bfloat16'
...
...
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