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please make TestPretrainedModel.md as per detectron2 and i think you have upload the weights of detectron2 with detectron1 config. correct me if i am worng.
Hi thanks for reply
Actually i am not friendlier with detectron so it can be wrong.
when i use you config All_X101.yaml and its load model from bucket it gives result.
cfg = get_cfg()
cfg.merge_from_file("/content/All_X101.yaml")
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 # set threshold for this model
predictor = DefaultPredictor(cfg)
outputs = predictor(im)
but when i use you config All_X101.yaml with model_final.pth its not gives any result.
cfg = get_cfg()
cfg.merge_from_file("/content/All_X101.yaml")
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 # set threshold for this model
cfg.MODEL.WEIGHTS = "/content/model_final.pth"
predictor = DefaultPredictor(cfg)
outputs = predictor(im)
@kbrajwani
Here is a copy of your notebook, which I modified to work well. https://colab.research.google.com/drive/1lmcdDNHjEia9l1-3SA4iTXAS1hF1_6X2?usp=sharing
I notice that you comment the line "cfg.MODEL.WEIGHTS = '/content/model_final.pth'" which will make the predictor use the ImageNetPretrained model instead of our fine-tuned model. The ImageNetPretrained model has no knowledge about table detection.
can you tell me detectron or detectron2 should be installed? According to the TestPretrainedModel.md, detectron should be installed, but the model provided from detectron2.
@liminghao1630 .OK，Thanks, That's means I should install detectron2. right?
TestPretrainedModel.md mislead me, I think you should add some information in it
The detect model unzip error? should I use other tools? Archive: data.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central dire
@alongadotvatbox did u find a solution for UnpicklingError: invalid load key, '\x0d'. ?
The curl request is wrong and the downloaded file is wrongly uploaded. Where file size should've been more than 700MB, it was just 147KB. So something wrong there.
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liminghao1630 commentedon Oct 19, 2020
Please refer to the detectron2 for inferring instructions. Which config do you think is detecton's?
kbrajwani commentedon Oct 19, 2020
Hi thanks for reply
Actually i am not friendlier with detectron so it can be wrong.
when i use you config All_X101.yaml and its load model from bucket it gives result.
cfg = get_cfg()
cfg.merge_from_file("/content/All_X101.yaml")
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 # set threshold for this model
predictor = DefaultPredictor(cfg)
outputs = predictor(im)
but when i use you config All_X101.yaml with model_final.pth its not gives any result.
cfg = get_cfg()
cfg.merge_from_file("/content/All_X101.yaml")
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5 # set threshold for this model
cfg.MODEL.WEIGHTS = "/content/model_final.pth"
predictor = DefaultPredictor(cfg)
outputs = predictor(im)
kbrajwani commentedon Oct 26, 2020
i am running following notebook you can check results.
https://colab.research.google.com/drive/1xeOQ5IUpwjDmCU6orwHd2hP3coOaau1t?usp=sharing
liminghao1630 commentedon Oct 26, 2020
@kbrajwani
Here is a copy of your notebook, which I modified to work well.
https://colab.research.google.com/drive/1lmcdDNHjEia9l1-3SA4iTXAS1hF1_6X2?usp=sharing
I notice that you comment the line "cfg.MODEL.WEIGHTS = '/content/model_final.pth'" which will make the predictor use the ImageNetPretrained model instead of our fine-tuned model. The ImageNetPretrained model has no knowledge about table detection.
kbrajwani commentedon Oct 26, 2020
Thanks @liminghao1630 now i want to do table Recognition. so how can i use pretrained model.
kbrajwani commentedon Oct 26, 2020
i read you have trained using OpenNMT. so can you please create readme about inference.
DuckJ commentedon Oct 29, 2020
can you tell me detectron or detectron2 should be installed? According to the TestPretrainedModel.md, detectron should be installed, but the model provided from detectron2.
DuckJ commentedon Oct 29, 2020
Did you forget to update the estPretrainedModel.md @liminghao1630
liminghao1630 commentedon Oct 29, 2020
@DuckJ We have no plan to update the TestPretrainedModel.md for now, please refer to the detectron2 for inferring instructions.
DuckJ commentedon Oct 29, 2020
@liminghao1630 .OK，Thanks, That's means I should install detectron2. right?
TestPretrainedModel.md mislead me, I think you should add some information in it
liminghao1630 commentedon Oct 29, 2020
@DuckJ Thanks for your suggestions. I have updated the TestPretrainedModel.md and add a reminder.
DuckJ commentedon Oct 29, 2020
The detect model unzip error? should I use other tools?
Archive: data.zip End-of-central-directory signature not found. Either this file is not a zipfile, or it constitutes one disk of a multi-part archive. In the latter case the central direDuckJ commentedon Oct 29, 2020
@kbrajwani hi, which tools did you use to unzip the model.zip. I used the unzip and 7-zip, always failed
DuckJ commentedon Oct 30, 2020
I I solved this problem by downloading each file separately. Thanks
alongadotvatbox commentedon Nov 17, 2020
Hey @liminghao1630 , I'd like to run your pretrained models using the colab notebook you've modified for this issue:
https://colab.research.google.com/drive/1lmcdDNHjEia9l1-3SA4iTXAS1hF1_6X2?usp=sharing
It seems to fail on:
predictor = DefaultPredictor(cfg)Due to
UnpicklingError: invalid load key, '\x0d'.Would you perhaps know why & how to correct this behavior?
raghavnprasad commentedon Jan 11, 2021
@alongadotvatbox did u find a solution for UnpicklingError:
invalid load key, '\x0d'.?alongadotvatbox commentedon Jan 11, 2021
debparth commentedon Apr 23, 2021
@alongadotvatbox If you don't mind then can you share the recognition model here?
omrastogi commentedon Aug 31, 2021
The curl request is wrong and the downloaded file is wrongly uploaded. Where file size should've been more than 700MB, it was just 147KB. So something wrong there.