allCirclesCenter.sort(key=takeFirst) # for item in allCirclesCenter: print("元素 is:", item) if __name__ == "__main__": xy_points = [] for i in range(5): x = random.randint(1, 10) y = random.randint(1, 10) xy = (x, y) xy_points.append(xy) for item in xy_points...
for i in range(5000): x=np.random.randint(0,rows) y=np.random.randint(0,cols) img[x,y,:]=255 batch_indices = np.random.choice(90, size = 8) print(batch_indices) # [59 74 0 22 32 37 12 70] 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. ...
crop_size = random.randint(int(input_shape[0] / 1.2), int(input_shape[0] / 0.8)) bst_x0 = random.randint(0,img.shape[1] -crop_size) bst_y0 = random.randint(0,img.shape[0] -crop_size) bst_sc = -1 try_cnt = random.randint(1, 5) for i in range(try_cnt): x0 = rand...
编写这种类型的代码不仅会影响计算图,而且在for循环中重复执行相同的操作(OP)时可能会占用大量内存。 养成显式定义所有张量和操作对象的习惯,不仅使代码更具可读性,而且还有助于您以更简洁的方式可视化计算图。 使用TensorBoard 可视化图形是 TensorFlow 最有用的功能之一,尤其是在构建复杂的神经网络时。 可以在图对象...
20 import random importstring print('用列表存储随机整数:') ls = [random.randint(1,100)foriinrange(5)] print(ls) print('\n用集合存储随机整数:') s = {random.randint(1,100)foriinrange(5)} print(s) print('\n\n字母串:',end ='') ...
for i in range(10): a.append(random.randint(10,100)) x=a[0] i=1 while i < 10: if a[i] < x: x=a[i] i=i+1 print(x) 当数组a为[30,38,65,93,22,52,34,15,85,30]时,语句“x=a[i]”执行的次数是() A.5B.4C.3D.2 ...
Setting up the logic for training and sampling from transformer xl can be a bit overwhelming. This repository offers a simple wrapper that should make this easy, with the XLAutoregressiveWrapper. # pass in the above model_xl xl_wrapper = XLAutoregressiveWrapper(model_xl) seg = torch.randint(...
x=randint(1,3)*2 for i in range(6-x): for j in range(5,i,-1): if a[j] < a[j-1]: t=a[j] a[j]=a[j-1] a[j-1]=t print(a) 执行该程序段后,输出的结果不可能是( ) A. [10,57,42,77,24,53] B. [57,42,77,24,10,53] C. [10,24,42,53,57,77] D. [...
balls = [] # 创建 6 个小球 for i in range(6): # 随机位置 position = randint(0, width-50), randint(0, height-50) # 随机速度 speed = [randint(-3, 3), randint(-3, 3)] # 判断 if speed == [0,0]: speed=[2,2] # 创建精灵对象 ball = Ball('./images/ball.png', position...