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Merge reparameterization scripts ! #249

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Merge reparameterization scripts ! #249

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102 changes: 102 additions & 0 deletions tools/reparameterization.py
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Original file line number Diff line number Diff line change
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import torch
from models.yolo import Model
import argparse


def main(args):
device = torch.device(args.device)
model = Model(args.cfg, ch=3, nc=args.classes_num, anchors=3)
#model = model.half()
model = model.to(device)
_ = model.eval()
ckpt = torch.load(args.weights, map_location='cpu')
model.names = ckpt['model'].names
model.nc = ckpt['model'].nc
idx = 0
for k, v in model.state_dict().items():
if "model.{}.".format(idx) in k:
if (args.model == "c" and idx < 22) or (args.model == "e" and idx < 29):
kr = k.replace("model.{}.".format(idx), "model.{}.".format(idx + 1 if args.model == 'c' else idx))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif args.model == 'e' and idx < 42:
kr = k.replace("model.{}.".format(idx), "model.{}.".format(idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.cv2.".format(idx) in k:
kr = k.replace("model.{}.cv2.".format(idx),
"model.{}.cv4.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.cv3.".format(idx) in k:
kr = k.replace("model.{}.cv3.".format(idx),
"model.{}.cv5.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.dfl.".format(idx) in k:
kr = k.replace("model.{}.dfl.".format(idx),
"model.{}.dfl2.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
else:
while True:
idx += 1
if "model.{}.".format(idx) in k:
break
if (args.model == "c" and idx < 22) or (args.model == "e" and idx < 29):
kr = k.replace("model.{}.".format(idx), "model.{}.".format(idx + 1 if args.model == 'c' else idx))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif args.model == 'e' and idx < 42:
kr = k.replace("model.{}.".format(idx), "model.{}.".format(idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.cv2.".format(idx) in k:
kr = k.replace("model.{}.cv2.".format(idx),
"model.{}.cv4.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.cv3.".format(idx) in k:
kr = k.replace("model.{}.cv3.".format(idx),
"model.{}.cv5.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
elif "model.{}.dfl.".format(idx) in k:
kr = k.replace("model.{}.dfl.".format(idx),
"model.{}.dfl2.".format(idx + 16 if args.model == 'c' else idx + 7))
model.state_dict()[k] -= model.state_dict()[k]
model.state_dict()[k] += ckpt['model'].state_dict()[kr]
print(k, "perfectly matched!!")
_ = model.eval()

m_ckpt = {'model': model.half(),
'optimizer': None,
'best_fitness': None,
'ema': None,
'updates': None,
'opt': None,
'git': None,
'date': None,
'epoch': -1}
torch.save(m_ckpt, args.save)


if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--cfg', type=str, default='../models/detect/gelan-c.yaml', help='model.yaml path')
parser.add_argument('--model', type=str, default='c', help='convert model type (c or e)')
parser.add_argument('--weights', type=str, default='./yolov9-c.pt', help='weights path')
parser.add_argument('--device', default='cpu', help='device id (i.e. 0 or 0,1) or cpu')
parser.add_argument('--classes_num', default=80, type=int, help='number of classes')
parser.add_argument('--save', default='./yolov9-c-converted.pt', type=str, help='save path')
args = parser.parse_args()
main(args)