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Pass export=True to RTDETRDecoder (#3550)

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Glenn Jocher 2023-07-05 18:25:27 +02:00 committed by GitHub
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commit 91905b4b0b
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1 changed files with 5 additions and 5 deletions
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10
ultralytics/yolo/engine/exporter.py
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@ -59,7 +59,7 @@ from pathlib import Path
import torch
from ultralytics.nn.autobackend import check_class_names
from ultralytics.nn.modules import C2f, Detect, Segment
from ultralytics.nn.modules import C2f, Detect, RTDETRDecoder
from ultralytics.nn.tasks import DetectionModel, SegmentationModel
from ultralytics.yolo.cfg import get_cfg
from ultralytics.yolo.utils import (DEFAULT_CFG, LINUX, LOGGER, MACOS, __version__, callbacks, colorstr,
@ -157,13 +157,13 @@ class Exporter:
# Load PyTorch model
self.device = select_device('cpu' if self.args.device is None else self.args.device)
# Checks
model.names = check_class_names(model.names)
if self.args.half and onnx and self.device.type == 'cpu':
LOGGER.warning('WARNING ⚠️ half=True only compatible with GPU export, i.e. use device=0')
self.args.half = False
assert not self.args.dynamic, 'half=True not compatible with dynamic=True, i.e. use only one.'
# Checks
model.names = check_class_names(model.names)
self.imgsz = check_imgsz(self.args.imgsz, stride=model.stride, min_dim=2) # check image size
if self.args.optimize:
assert self.device.type == 'cpu', '--optimize not compatible with cuda devices, i.e. use --device cpu'
@ -185,7 +185,7 @@ class Exporter:
model.float()
model = model.fuse()
for k, m in model.named_modules():
if isinstance(m, (Detect, Segment)):
if isinstance(m, (Detect, RTDETRDecoder)): # Segment and Pose use Detect base class
m.dynamic = self.args.dynamic
m.export = True
m.format = self.args.format