Model ema key backward compatibility fix (#6972)
Fix for older model loading issue in https://github.com/ultralytics/yolov5/commit/d3d9cbce221b2ced46dde374f24fde72c8e71c37#commitcomment-68622388
This commit is contained in:
1 parent
c13d4ce7ef
commit
2d45de617e
1 file changed
+1
-1
@@ -94,7 +94,7 @@ def attempt_load(weights, map_location=None, inplace=True, fuse=True):
|
|||||||
model = Ensemble()
|
model = Ensemble()
|
||||||
for w in weights if isinstance(weights, list) else [weights]:
|
for w in weights if isinstance(weights, list) else [weights]:
|
||||||
ckpt = torch.load(attempt_download(w), map_location=map_location) # load
|
ckpt = torch.load(attempt_download(w), map_location=map_location) # load
|
||||||
ckpt = (ckpt['ema'] or ckpt['model']).float() # FP32 model
|
ckpt = (ckpt.get('ema') or ckpt['model']).float() # FP32 model
|
||||||
model.append(ckpt.fuse().eval() if fuse else ckpt.eval()) # fused or un-fused model in eval mode
|
model.append(ckpt.fuse().eval() if fuse else ckpt.eval()) # fused or un-fused model in eval mode
|
||||||
|
|
||||||
# Compatibility updates
|
# Compatibility updates
|
||||||
|
|||||||
Reference in new issue
Block a user