Skip to content

Commit 70d782e

Browse files
authored
Update README.md
1 parent 53002b4 commit 70d782e

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

README.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -31,7 +31,7 @@ EfficientDet-D1:
3131
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.571316
3232
```
3333

34-
Also, [Soyeb Nagori](https://github.com/soyebn) trained an EffiCientDet-Lite0 config using this code and contributed the weights.
34+
Also, [Soyeb Nagori](https://github.com/soyebn) trained an EfficientDet-Lite0 config using this code and contributed the weights.
3535
```
3636
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.319861
3737
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.500062
@@ -42,7 +42,7 @@ Also, [Soyeb Nagori](https://github.com/soyebn) trained an EffiCientDet-Lite0 co
4242
```
4343

4444
Unlike the other tf_ prefixed models this is not ported from (as of yet unreleased) TF official model, but it used
45-
TF ported weights for the pretrained imagenet model that was the starting point, thus it uses SAME padding.
45+
TF ported weights from `timm` for the pretrained imagenet model as the backbone init, thus it uses SAME padding.
4646

4747

4848
### 2020-06-12

0 commit comments

Comments
 (0)