xiaoerlageid

I did segmentation problems with standart unet. When I plan to inference the result using the tta library, there a OOM problem occurs. I am using nvidia 2080ti . It's...

代码疑问

6

``` def load_image(imageurl): im = cv2.resize(cv2.imread(imageurl),(224,224)).astype(np.float32) im[:,:,0] -= 103.939 im[:,:,1] -= 116.779 im[:,:,2] -= 123.68 im = im.transpose((2,0,1)) im = np.expand_dims(im,axis=0) return I'm ``` 请问这个为什么三个通道要减去这个值？ 后面的转置是什么目的？不太懂，希望大神解答下谢谢！

wondering how you get the parameter

4

Very impressive job! I have a question in your code. I want to apply this algorithm in my project with DSA and CTA Image. In the data folder, I don't...

I train this model using GTX1080. I ran about 10 hours but just train 200 episodes. have anyone have same problems?

_IncompatibleKeys

1

Hi, Thanks your works. I use my dataset pretrial on the you provided imagenet model. Then I use my pretreaind model to finetune on my dataset. The code return _IncompatibleKeys(missing_keys=['class_embed.weight',...

I have tried to run your code, I find your code not work, the main.py seems not finished yet ?

Question about how to train with image size with different length and width

2

Very impressive works. I trying to use the transUnet in my dataset. But my dataset shape is (672,448) which length and width not equal. I find this will lead bugs....

关于初始化的地方bitmap的疑问

1

void initSystem() { /* 分配100M空间 */ systemStartAddr = (char*)malloc(system_size * sizeof(char)); //初始化盘块的位示图 for(int i = 0; i < block_count; i++) systemStartAddr[i] = '0'; //用于存放位示图的空间已被占用 int bitMapSize = block_count * sizeof(char)...