Xyng2020
Xyng2020
could someone help me to prepare .nzp file for a custom dataset?
> net.train() could you please share this part of code? I mean net.train() and net.eval(). is it possible to use MLT pretrained weight for training custom dataset?
@Carey-cc could you provide an idea about how can I extract trainval_loc and val_loc?
@Carey-cc how can I prepare data for the cub dataset for training network?
have anyone tried multi-GPU version? I want to train with multi-GPU. please provide the way to train multigpu.
@udion can you let me know how can I train network just one class and generate one class output?
I found Fots repository EfficientNet backbone you can try this [this](https://github.com/bharatsubedi/FOTS_tf_efficientnet)
Following
@fourierer Could you please let me know how can you transfer [x1,y1,x2,y2,x3,y3,x4,y4] into 16 points polygon? could you please share your code to tranfer. How to prepare data for training,...
def getEquidistantPoints(p1, p2, parts): return zip(np.linspace(p1[0], p2[0], parts+1), np.linspace(p1[1], p2[1], parts+1)) boxes_ori=boxes.copy() ori_bbb=np.array(boxes).reshape(-1) p_bboxx =[max(int(float(j)),1) for j in ori_bbb] ab=np.reshape(p_bboxx,(-1,2)) boxes_ori=ab.copy() if len(ab)==4: box_x1=list(getEquidistantPoints(ab[0], ab[1], 5)) box_y1=list(getEquidistantPoints(ab[1], ab[2], 3)) box_x2=list(getEquidistantPoints(ab[2],...