yanghoJI
commented
4 years ago @iamastar88 check here
Open zcode86 opened 4 years ago
KelvinHuang666
commented
4 years ago python train.py --dataset VOC --dataset_root data/VOCdevkit/ --network efficientdet-d4 --batch_size
12 --gpu 7
train.py:304: UserWarning: You have chosen to seed training. This will turn on the CUDNN deterministic setting, which can slow down your training considerably! You may see unexpected behavior when restarting from checkpoints.
warnings.warn('You have chosen to seed training. '
train.py:311: UserWarning: You have chosen a specific GPU. This will completely disable data parallelism.
warnings.warn('You have chosen a specific GPU. This will completely '
Use GPU: 7 for training
Downloading: "http://storage.googleapis.com/public-models/efficientnet/efficientnet-b4-6ed6700e.pth" to /root/.cache/torch/checkpoints/efficientnet-b4-6ed6700e.pth
Traceback (most recent call last):
File "train.py", line 335, in
lvpinrui
commented
4 years ago python train.py --dataset VOC --dataset_root data/VOCdevkit/ --network efficientdet-d4 --batch_size 12 --gpu 7 train.py:304: UserWarning: You have chosen to seed training. This will turn on the CUDNN deterministic setting, which can slow down your training considerably! You may see unexpected behavior when restarting from checkpoints. warnings.warn('You have chosen to seed training. ' train.py:311: UserWarning: You have chosen a specific GPU. This will completely disable data parallelism. warnings.warn('You have chosen a specific GPU. This will completely ' Use GPU: 7 for training Downloading: "http://storage.googleapis.com/public-models/efficientnet/efficientnet-b4-6ed6700e.pth" to /root/.cache/torch/checkpoints/efficientnet-b4-6ed6700e.pth Traceback (most recent call last): File "train.py", line 335, in main() File "train.py", line 331, in main main_worker(args.gpu, ngpus_per_node, args) File "train.py", line 234, in main_worker D_class=EFFICIENTDET[args.network]['D_class'] File "/asff/EfficientDet.Pytorch-master/models/efficientdet.py", line 33, in init self.backbone = EfficientNet.from_pretrained(MODEL_MAP[network]) File "/asff/EfficientDet.Pytorch-master/models/efficientnet.py", line 243, in from_pretrained model, model_name, load_fc=(num_classes == 1000)) File "/asff/EfficientDet.Pytorch-master/models/utils.py", line 319, in load_pretrained_weights state_dict = model_zoo.load_url(url_map[model_name]) File "/usr/local/lib/python3.6/dist-packages/torch/hub.py", line 462, in load_state_dict_from_url _download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "/usr/local/lib/python3.6/dist-packages/torch/hub.py", line 372, in _download_url_to_file u = urlopen(url) File "/usr/lib/python3.6/urllib/request.py", line 223, in urlopen return opener.open(url, data, timeout) File "/usr/lib/python3.6/urllib/request.py", line 532, in open response = meth(req, response) File "/usr/lib/python3.6/urllib/request.py", line 642, in http_response 'http', request, response, code, msg, hdrs) File "/usr/lib/python3.6/urllib/request.py", line 570, in error return self._call_chain(args) File "/usr/lib/python3.6/urllib/request.py", line 504, in _call_chain result = func(args) File "/usr/lib/python3.6/urllib/request.py", line 650, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 403: Forbidden U can download with 迅雷。+ http://storage.googleapis.com/public-models/efficientnet/efficientnet-b4-6ed6700e.pth But I try val mAP=0 ，except D0 and D1。 good luck。
can you give me D0-D7 pth pretrained models ?please,thank you very much?
lvpinrui
commented
4 years ago I can not download the D0-D7 pth pretrained models because of the connection, who can provide them to me? Thanks . 2071413919@qq.com / midgpower@gmail.com
Do you get those Pth? if yes,Please send me a copy?
wait for your reply,thanks!
zylo117
commented
4 years ago I can not download the D0-D7 pth pretrained models because of the connection, who can provide them to me? Thanks . 2071413919@qq.com / midgpower@gmail.com
Do you get those Pth? if yes,Please send me a copy? wait for your reply,thanks!
checkout my repo, The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
there are D0-D7 weights
lvpinrui
commented
4 years ago thank you very much！ 1358420042 邮箱1358420042@qq.com 签名由 网易邮箱大师 定制 On 04/11/2020 13:13, zylo117 wrote: I can not download the D0-D7 pth pretrained models because of the connection, who can provide them to me? Thanks . 2071413919@qq.com / midgpower@gmail.com Do you get those Pth? if yes,Please send me a copy? wait for your reply,thanks! checkout my repo, The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights. there are D0-D7 weights https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
I can not download the D0-D7 pth pretrained models because of the connection, who can provide them to me? Thanks . 2071413919@qq.com / midgpower@gmail.com