Closed i3oi3o closed 5 years ago
I manual test it.
Use the cute doggy image 🐶 from here as test image. https://github.com/pjreddie/darknet/blob/master/data/dog.jpg
These are the flag that I use.
--data_format=NHWC --size=608 --input_img=dog.jpg --output_img=dog_yolo.jpg
The main change is in utils.convert_to_original_size function .
Let me know if there is anything wrong. 😄
@sagarkar10 You may want to take a look here. 😆
hello, Could you solve it if you modifiy these code(mystic123 approved these changes on 3 Dec 2018)?
@lucy3589 Umm.., Which issue do you want me to resolve?
i use darknet yolo, mAP is 0.9. but i use convert_weight_pb.py to convert weight, and use tf_yolo, but mAP is 0.7.
Unfortunately, I couldn't. This need reverse engineering on both tensorflow and darknet. It's very time consuming. With my current project workload, I don't have time. You can look at #77
Unfortunately, I couldn't. This need reverse engineering on both tensorflow and darknet. It's very time consuming. With my current project workload, I don't have time. You can look at #77
thanks very much. I edit upsample, but it has low mAp.
I manual test it.
Use the cute doggy image :dog: from here as test image. https://github.com/pjreddie/darknet/blob/master/data/dog.jpg
These are the flag that I use.
--data_format=NHWC --size=608 --input_img=dog.jpg --output_img=dog_yolo.jpg
The main change is in utils.convert_to_original_size function .
Let me know if there is anything wrong. :smile:
@sagarkar10 You may want to take a look here. :satisfied: