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Hi there,
Thanks your code,
I want to inference any custom image which is not in Tusimple dataset.
The following is my code:
import torch
import cv2
import torch.nn.functional as F
from models.…
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(lanedet) emredo@emreninbilgisayari:~/lanedet$ python tools/detect.py configs/laneatt/resnet18_tusimple.py --img yol1.jpg --load_from /home/emredo/lanedet/work_dirs/TuSimple/20210623_163540_lr_3e-04_b…
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Hey! I tried to test on the tusimple large. I ran this code
python tools/condlanenet/tusimple/test_tusimple.py configs/condlanenet/tusimple/tusimple_large_test.py D:/conditional-lane-detection-mast…
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Thanks for your error report and we appreciate it a lot.
**Checklist**
1. I have searched related issues but cannot get the expected help.
2. I have read the [FAQ documentation](https://mmdetec…
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Hi, how can we learn more about what the config parameters are doing in?: config/tusimple_lanenet.yaml
Some are intuitive, but others I'm not sure what they might do. I'm experiencing accuracy is…
ghost updated
3 years ago
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Thanks for your great work.
I run your code on TuSimple dataset.
The result is
I t…
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Dataloader to work with training and evaluation code from ultra fast repo
Train returns something like (image_sim, label_sim) image_real
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This work is very nice! And I have one question to consult.
As far as I know, the tusimple dataset have five lanes at most. But, the "num_classes" is seted to "6+1" in configs/tusimple.py line 87 . C…
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