Comments (6)
from ctw-baseline.
What script are you executing? Where is your model from and where are your weights from?
from ctw-baseline.
@yuantailing the script is eval_image_classifier.py,get the model from https://ctwdataset.github.io/, together with the dataset
from ctw-baseline.
I think you'd better cd classification
and run python3 eval.py inception_v4
, it will call eval_image_classifier.py with correct arguments. It will fail if you run eval_image_classifier.py with wrong arguments.
from ctw-baseline.
@yuantailing thank you very much, I write a inference script to classify one image. solve the problem , it because the inception_v4 default input size is 299, and your trained model is 235. Thank you!
is the inception_v4 have the best performance? and the accuracy is ??
from ctw-baseline.
Results indicate that inception_v4 has the best performance even if input size is 235. Accuracy can be found in paper. (80.5%)
from ctw-baseline.
Related Issues (20)
- Some question about test in detection HOT 1
- Error on CodaLab (CTW dataset classification) HOT 2
- Dataset weiyun download link failed. HOT 4
- Question when running detection_perf.py HOT 3
- Quenstion about total detection procedure HOT 8
- 检测的时候怎么提取一行字符或者一列的区域 yolo例子下面那个只能提取单个字符的区域 HOT 5
- Where can I locate the 'learning' module? HOT 2
- Very slow training speed. Is this expected for my system setup? HOT 4
- How to deal with negative values in the coordinates of polygon regions HOT 1
- images-test miss some images HOT 2
- 使用yolov3算法需要在哪些方面做出调整呢 HOT 4
- 您好,请问在训练和测试的时候裁剪图片是如何裁剪的? HOT 1
- 有人有训练好的模型吗
- 如何将jsonl格式的注释转换为txt格式?
- Aspect ratio of the anchor boxes HOT 2
- 请问您在原始yolov2基础上修改了哪些东西,如果换成Yolov3该怎么去修改呢 HOT 1
- 如何获取行文本图像和标签? HOT 2
- Problem when reproducing the classification performance HOT 2
- Problem of CodaLab HOT 1
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from ctw-baseline.