小编Zha*_*hen的帖子

在图像调整大小插值问题中，可以在np.meshgrid对网格索引进行操作之前使用行和列索引：

nrows = 600
ncols = 800
image_in = np.random.randint(0, 256, size=(nrows, ncols, 3))
scale_factor = 1.5

r = np.arange(nrows, dtype=float) * scale_factor
c = np.arange(ncols, dtype=float) * scale_factor

rr, cc = np.meshgrid(r, c, indexing='ij')

# Nearest Neighbor Interpolation
# np.floor if scale_factor >= 1. np.ceil otherwise
rr = np.floor(rr).astype(int).clip(0, nrows-1)
cc = np.floor(cc).astype(int).clip(0, ncols-1)

image_out = image_in[rr, cc, :]

现在，我该如何扭转这个过程呢？假设给定rr_1，cc_1（ 的乘积np.meshgrid）以未知方式处理（此处用 表示np.random.randint），我如何获得r_1和c_1，即np.meshgrid（最好使用ij …

如何在客户端和服务器中使用jsonp和CORS在网页上实现跨域ajax调用.

例如,www.mytestsite.com要进行ajax调用www.otherdestinationserver.com,如何实现使用JSONP或CORS实现？

我发现了一些关于相关问题的帖子，但没有帮助。我终于弄清楚了，以下是如何读取 .json 文件的内容。假设路径是/home/xxx/dnns/test/params.json，我想把.json中的字典变成Prolog字典：

{
    "type": "lenet_1d",
    "input_channel": 1,
    "output_size": 130,
    "batch_norm": 1,
    "use_pooling": 1,
    "pooling_method": "max",
    "conv1_kernel_size": 17,
    "conv1_num_kernels": 45,
    "conv1_stride": 1,
    "conv1_dropout": 0.0,
    "pool1_kernel_size": 2,
    "pool1_stride": 2,
    "conv2_kernel_size": 12,
    "conv2_num_kernels": 35,
    "conv2_stride": 1,
    "conv2_dropout": 0.514948804688646,
    "pool2_kernel_size": 2,
    "pool2_stride": 2,
    "fcs_hidden_size": 109,
    "fcs_num_hidden_layers": 2,
    "fcs_dropout": 0.8559119274655482,
    "cost_function": "SmoothL1",
    "optimizer": "Adam",
    "learning_rate": 0.0001802763794651928,
    "momentum": null,
    "data_is_target": 0,
    "data_train": "/home/xxx/data/20180402_L74_70mm/train_2.h5",
    "data_val": "/home/xxx/data/20180402_L74_70mm/val_2.h5",
    "batch_size": 32,
    "data_noise_gaussian": 1,
    "weight_decay": 0,
    "patience": 20,
    "cuda": 1,
    "save_initial": 0,
    "k": 4,
    "save_dir": "DNNs/20181203090415_11_created/k_4"
}