yangxue0827 / r2cnn_head_fpn_tensorflow Goto Github PK

Could you also share SRSS dataset?

Adaptive ROI Align was seen in the paper, but I can not find it in the code, Can you share your code of Adaptive ROI Align?

Thank you for you great work and ideas. I would like to try this repo on my own satellite images. However since I don't get good utilization by passing images one by one in inference.py I decided to inference by batches. Initially I added one dimension to the image placeholder:

img_plac = tf.placeholder(shape=[None, None, 3], dtype=tf.uint8

Can you please guide me through this process because I am not familiar with tensorflow semantics

@yangJirui @yangxue0827 Hi,
I can not find io folder and inference.py

training and inference procedure cannot be done without them.
there is no sample of annotations as well.

head_x = (x_0 +x_1)/2
head_y = (y_0 + y_1) / 2
是这样计算的吗？？？

你好，感谢你的代码，让我学到了许多。 有个问题就是关于图像的head_x,head_y数据的标签，没有找到，需要我们自己标吗？

Thank you for you great work and ideas. I would like to try this repo on my own satellite images. However since I don't get good utilization by passing images one by one in inference.py I decided to inference by batches. Initially I added one dimension to the image placeholder:

img_plac = tf.placeholder(shape=[None, None, None, 3], dtype=tf.uint8)

And created a batch of images before feeding session.run

feed_dict={img_plac: IMG_BATCH}

I also changed the batch size in the config, and the preprocesding code that resizes the image to take.batch into account.

The error message i get with batch_size=8 is:
InvalidArgumentError: Incompatible shapes: [1964160] vs. [245520]
[[Node: rpn_proposals/decode/mul = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](rpn_proposals/decode/truediv, rpn_proposals/decode/sub)]]

Can you please guide me through this process because I am not familiar with tensorflow semantics? Thank you very much once more

1. clone the repo
2. run docker

docker run --rm --name tfgpu -p 5552:5552 --gpus all -it -v /Data/share:/Data/share yangxue2docker/tensorflow3_gpu_cv2_sshd:v1.0 /bin/bash

3. In the clonned repo
   cd tools
python3 inference.py

4. Get this error:

root@27260403fc95:/scratch/MDA000_BOAT00/DEVELOPMENT/USER_WORKSPACE/pgalles/R2CNN_HEAD_FPN_Tensorflow/tools# python inference.py
Traceback (most recent call last):
  File "inference.py", line 17, in <module>
    from libs.fast_rcnn import build_fast_rcnn
  File "../libs/fast_rcnn/build_fast_rcnn.py", line 13, in <module>
    from libs.box_utils import nms_rotate
  File "../libs/box_utils/nms_rotate.py", line 12, in <module>
    from libs.box_utils.rotate_polygon_nms import rotate_gpu_nms
ImportError: dynamic module does not define module export function (PyInit_rotate_polygon_nms)

I am not sure. Am I missing some steps?