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Check PyTorch model status for all YOLO methods (#945)

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Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
This commit is contained in:
Glenn Jocher
2023-02-13 15:08:08 +04:00
committed by GitHub
parent fd5be10c66
commit 20fe708f31
21 changed files with 180 additions and 106 deletions
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8
ultralytics/nn/autobackend.py
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@ -193,7 +193,7 @@ class AutoBackend(nn.Module):
from tflite_runtime.interpreter import Interpreter, load_delegate
except ImportError:
import tensorflow as tf
Interpreter, load_delegate = tf.lite.Interpreter, tf.lite.experimental.load_delegate,
Interpreter, load_delegate = tf.lite.Interpreter, tf.lite.experimental.load_delegate
if edgetpu: # TF Edge TPU https://coral.ai/software/#edgetpu-runtime
LOGGER.info(f'Loading {w} for TensorFlow Lite Edge TPU inference...')
delegate = {
@ -232,8 +232,10 @@ class AutoBackend(nn.Module):
nhwc = model.runtime.startswith("tensorflow")
'''
else:
raise NotImplementedError(f"ERROR: '{w}' is not a supported format. For supported formats see "
f"https://docs.ultralytics.com/reference/nn/")
from ultralytics.yolo.engine.exporter import EXPORT_FORMATS_TABLE
raise TypeError(f"model='{w}' is not a supported model format. "
"See https://docs.ultralytics.com/tasks/detection/#export for help."
f"\n\n{EXPORT_FORMATS_TABLE}")
# class names
if 'names' not in locals(): # names missing

2
ultralytics/nn/tasks.py
View File

@ -356,7 +356,7 @@ def attempt_load_weights(weights, device=None, inplace=True, fuse=False):
model = (ckpt.get('ema') or ckpt['model']).to(device).float() # FP32 model
# Model compatibility updates
model.args = {k: v for k, v in args.items() if k in DEFAULT_CFG_KEYS} # attach args to model
model.args = args # attach args to model
model.pt_path = weights # attach *.pt file path to model
model.task = guess_model_task(model)
if not hasattr(model, 'stride'):