Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use get_region method in localstack

Best Python code snippet using localstack_python

pathology.py

Source:pathology.py

1import tensorflow as tf2def get_region(image_tensor, h, w, position):3    if position == "left_upper":4        image_tensor = image_tensor[:, :h, :w, :]5    elif position == "right_upper":6        image_tensor = image_tensor[:, :h, w:, :]7    elif position == "left_lower":8        image_tensor = image_tensor[:, h:, :w, :]9    elif position == "right_lower":10        image_tensor = image_tensor[:, h:, w:, :]11    return image_tensor12def recon_overlapping_patches(image_tensor):13    # _, H, W, _ = image_tensor_concat.shape14    _, H, W, _ = image_tensor[0].shape15    h, w = H // 2, W // 216    # image_tensor = tf.split(image_tensor_concat, 10, -1)17    image_tensor_list = []18    row_0_col_0 = get_region(image_tensor[0], h, w, "left_upper") * 119    row_0_col_1 = get_region(image_tensor[0], h, w, "right_upper") * \20        0.5 + get_region(image_tensor[1], h, w, "left_upper") * 0.521    row_0_col_2 = get_region(image_tensor[1], h, w, "right_upper") * \22        0.5 + get_region(image_tensor[2], h, w, "left_upper") * 0.523    row_0_col_3 = get_region(image_tensor[2], h, w, "right_upper") * 124    row_1_col_0 = get_region(image_tensor[0], h, w, "left_lower") * \25        0.5 + get_region(image_tensor[3], h, w, "left_upper") * 0.526    row_1_col_1 = get_region(image_tensor[0], h, w, "right_lower") * 0.25 + get_region(image_tensor[1], h, w, "left_lower") * 0.25 + \27        get_region(image_tensor[3], h, w, "right_upper") * 0.25 + \28        get_region(image_tensor[4], h, w, "left_upper") * 0.2529    row_1_col_2 = get_region(image_tensor[1], h, w, "right_lower") * 0.25 + get_region(image_tensor[2], h, w, "left_lower") * 0.25 + \30        get_region(image_tensor[4], h, w, "right_upper") * 0.25 + \31        get_region(image_tensor[5], h, w, "left_upper") * 0.2532    row_1_col_3 = get_region(image_tensor[2], h, w, "right_lower") * \33        0.5 + get_region(image_tensor[5], h, w, "right_upper") * 0.534    row_2_col_0 = get_region(image_tensor[3], h, w, "left_lower") * \35        0.5 + get_region(image_tensor[6], h, w, "left_upper") * 0.536    row_2_col_1 = get_region(image_tensor[3], h, w, "right_lower") * 0.25 + get_region(image_tensor[4], h, w, "left_lower") * 0.25 + \37        get_region(image_tensor[6], h, w, "right_upper") * 0.25 + \38        get_region(image_tensor[7], h, w, "left_upper") * 0.2539    row_2_col_2 = get_region(image_tensor[4], h, w, "right_lower") * 0.25 + get_region(image_tensor[5], h, w, "left_lower") * 0.25 + \40        get_region(image_tensor[7], h, w, "right_upper") * 0.25 + \41        get_region(image_tensor[8], h, w, "left_upper") * 0.2542    row_2_col_3 = get_region(image_tensor[5], h, w, "right_lower") * \43        0.5 + get_region(image_tensor[8], h, w, "right_upper") * 0.544    row_3_col_0 = get_region(image_tensor[6], h, w, "left_lower") * 145    row_3_col_1 = get_region(image_tensor[6], h, w, "right_lower") * \46        0.5 + get_region(image_tensor[7], h, w, "left_lower") * 0.547    row_3_col_2 = get_region(image_tensor[7], h, w, "right_lower") * \48        0.5 + get_region(image_tensor[8], h, w, "left_lower") * 0.549    row_3_col_3 = get_region(image_tensor[8], h, w, "right_lower") * 150    image_tensor_list.append(row_0_col_0)51    image_tensor_list.append(row_0_col_1)52    image_tensor_list.append(row_0_col_2)53    image_tensor_list.append(row_0_col_3)54    image_tensor_list.append(row_1_col_0)55    image_tensor_list.append(row_1_col_1)56    image_tensor_list.append(row_1_col_2)57    image_tensor_list.append(row_1_col_3)58    image_tensor_list.append(row_2_col_0)59    image_tensor_list.append(row_2_col_1)60    image_tensor_list.append(row_2_col_2)61    image_tensor_list.append(row_2_col_3)62    image_tensor_list.append(row_3_col_0)63    image_tensor_list.append(row_3_col_1)64    image_tensor_list.append(row_3_col_2)65    image_tensor_list.append(row_3_col_3)66    row_1 = tf.concat(image_tensor_list[:4], axis=2)67    row_2 = tf.concat(image_tensor_list[4:8], axis=2)68    row_3 = tf.concat(image_tensor_list[8:12], axis=2)69    row_4 = tf.concat(image_tensor_list[12:], axis=2)70    restored = tf.concat([row_1, row_2, row_3, row_4], axis=1)71    return restored72# 1 / 4 Scale Restore73def recon_overlapping_patches_quarter_scale(image_tensor):74    # _, H, W, _ = image_tensor_concat.shape75    _, H, W, _ = image_tensor[0].shape76    h, w = H // 2, W // 277    col_in_row = 778    row_list = []79    col_list = []80    col_list.append(get_region(image_tensor[0], h, w, "left_upper") * 1)81    for idx in range(col_in_row - 1):82        col_element = get_region(image_tensor[idx], h, w, "right_upper") * \83            0.5 + get_region(image_tensor[idx + 1], h, w, "left_upper") * 0.584        col_list.append(col_element)85    col_list.append(get_region(86        image_tensor[col_in_row - 1], h, w, "right_upper") * 1)87    row_list.append(col_list)88    for row_idx in range(col_in_row - 1):89        start_num = row_idx * col_in_row90        col_list = []91        col_list.append(get_region(image_tensor[start_num], h, w, "left_lower") *92                        0.5 + get_region(image_tensor[start_num + col_in_row], h, w, "left_upper") * 0.5)93        for col_idx in range(col_in_row - 1):94            col_element = get_region(image_tensor[start_num + col_idx], h, w, "right_lower") * 0.25 + \95                get_region(image_tensor[start_num + col_idx + 1], h, w, "left_lower") * 0.25 + \96                get_region(image_tensor[start_num + col_idx + col_in_row], h, w, "right_upper") * 0.25 + \97                get_region(image_tensor[start_num + col_idx + col_in_row + 1],98                           h, w, "left_upper") * 0.2599            col_list.append(col_element)100        col_list.append(get_region(image_tensor[start_num + col_in_row - 1], h, w, "right_lower") *101                        0.5 + get_region(image_tensor[start_num + col_in_row + col_in_row - 1], h, w, "right_upper") * 0.5)102        row_list.append(col_list)103    col_list = []104    start_num = (col_in_row - 1) * col_in_row105    col_list.append(get_region(106        image_tensor[start_num], h, w, "left_lower") * 1)107    for idx in range(col_in_row - 1):108        col_element = get_region(image_tensor[start_num + idx], h, w, "right_lower") * \109            0.5 + \110            get_region(image_tensor[start_num + idx + 1],111                       h, w, "left_lower") * 0.5112        col_list.append(col_element)113    col_list.append(get_region(114        image_tensor[start_num + col_in_row - 1], h, w, "right_lower") * 1)115    row_list.append(col_list)116    row_list = [tf.concat(row, axis=2) for row in row_list]117    restored = tf.concat(row_list, axis=1)...

font_data.py

Source:font_data.py

...3resource.path.append('res')45highlighted_font_image = resource.image('font.png')6Outlined = {7    "A" : [highlighted_font_image.get_region(0, 0, 25,25), 0, 0],8    "B" : [highlighted_font_image.get_region(25, 0, 25,25), 0, 0],9    "C" : [highlighted_font_image.get_region(50, 0, 25,25), 0, 0],10    "D" : [highlighted_font_image.get_region(75, 0, 25,25), 0, 0],11    "E" : [highlighted_font_image.get_region(99, 0, 26,25), 0, 0],12    "F" : [highlighted_font_image.get_region(125, 0, 25,25), 0, 0],13    "G" : [highlighted_font_image.get_region(150, 0, 25,25), 0, 0],14    "H" : [highlighted_font_image.get_region(175, 0, 25,25), 0, 0],15    "I" : [highlighted_font_image.get_region(206, 0, 12,25), 0, 0],16    "J" : [highlighted_font_image.get_region(225, 0, 25,25), 0, 0],17    "K" : [highlighted_font_image.get_region(250, 0, 25,25), 0, 0],18    "L" : [highlighted_font_image.get_region(275, 0, 22,25), 0, 0],19    "M" : [highlighted_font_image.get_region(300, 0, 25,25), 0, 0],20    "N" : [highlighted_font_image.get_region(325, 0, 25,25), 0, 0],21    "O" : [highlighted_font_image.get_region(349, 0, 27,26), 0, 0],22    "P" : [highlighted_font_image.get_region(375, 0, 25,25), 0, 0],23    "Q" : [highlighted_font_image.get_region(400, 0, 25,25), 0, 0],24    "R" : [highlighted_font_image.get_region(425, 0, 25,25), 0, 0],25    "S" : [highlighted_font_image.get_region(450, 0, 25,25), 0, 0],26    "T" : [highlighted_font_image.get_region(475, 0, 25,25), 0, 0],27    "U" : [highlighted_font_image.get_region(500, 0, 25,25), 0, 0],28    "V" : [highlighted_font_image.get_region(525, 0, 25,25), 0, 0],29    "W" : [highlighted_font_image.get_region(550, 0, 37,25), 0, 0],30    "X" : [highlighted_font_image.get_region(587, 0, 25,25), 0, 0],31    "Y" : [highlighted_font_image.get_region(614, 0, 23,25), 0, 0],32    "Z" : [highlighted_font_image.get_region(636, 0, 25,25), 0, 0],33    " " : [highlighted_font_image.get_region(660, 0, 15,25), 0, 0],34    35    #Lower-case36    "a" : [highlighted_font_image.get_region(2, 36, 17,25), 0, -1],37    "b" : [highlighted_font_image.get_region(27, 35, 19,28), 0, -3],38    "c" : [highlighted_font_image.get_region(53, 36, 17,25), 0, -1],39    "d" : [highlighted_font_image.get_region(77, 36, 19, 33), 0, -2],40    "e" : [highlighted_font_image.get_region(103, 36, 19, 33), 0, -1],41    "f" : [highlighted_font_image.get_region(130, 36, 14, 33), 0, -2],42    "g" : [highlighted_font_image.get_region(152, 32, 19, 39), 0, -4],43    "h" : [highlighted_font_image.get_region(177, 34, 18, 39), 0, -2],44    "i" : [highlighted_font_image.get_region(207, 32, 10, 39), 0, -3],45    "j" : [highlighted_font_image.get_region(231, 30, 9, 39), 0, -4],46    "k" : [highlighted_font_image.get_region(248, 33, 20, 34), 0, -3],47    "l" : [highlighted_font_image.get_region(284, 33, 7, 34), 0, -3],48    "m" : [highlighted_font_image.get_region(298, 33, 28, 24), 0, -2],49    "n" : [highlighted_font_image.get_region(328, 33, 18, 34), 0, -3],50    "o" : [highlighted_font_image.get_region(352, 33, 20, 34), 0, -3],51    "p" : [highlighted_font_image.get_region(376, 30, 19, 39), 0, -6],52    "q" : [highlighted_font_image.get_region(400, 30, 19, 39), 0, -6],53    "r" : [highlighted_font_image.get_region(429, 34, 12, 35), 0, -1],54    "s" : [highlighted_font_image.get_region(453, 34, 16, 35), 0, -1],55    "t" : [highlighted_font_image.get_region(479, 34, 16, 35), 0, -1],56    "u" : [highlighted_font_image.get_region(504, 34, 16, 35), 0, -1],57    "v" : [highlighted_font_image.get_region(527, 34, 18, 35), 0, -1],58    "w" : [highlighted_font_image.get_region(555, 34, 28, 35), 0, -1],59    "x" : [highlighted_font_image.get_region(591, 34, 18, 35), 0, -1],60    "y" : [highlighted_font_image.get_region(617, 30, 19, 39), 0, -7],61    "z" : [highlighted_font_image.get_region(642, 30, 18, 34), 0, -4.5],62    63    #Numbers64    "0" : [highlighted_font_image.get_region(4, 76, 21, 34), 0, -0.5],65    "1" : [highlighted_font_image.get_region(33, 76, 18, 35), 0, -0.5],66    "2" : [highlighted_font_image.get_region(59, 76, 19, 35), 0, -0.5],67    "3" : [highlighted_font_image.get_region(86, 76, 19, 35), 0, -0.5],68    "4" : [highlighted_font_image.get_region(112, 76, 21, 35), 0, -0.5],69    "5" : [highlighted_font_image.get_region(140, 76, 19, 35), 0, -0.5],70    "6" : [highlighted_font_image.get_region(167, 76, 19, 35), 0, -0.5],71    "7" : [highlighted_font_image.get_region(194, 76, 19, 35), 0, -0.5],72    "8" : [highlighted_font_image.get_region(220, 76, 20, 35), 0, -0.5],73    "9" : [highlighted_font_image.get_region(255, 76, 19, 35), 0, -0.5],74    75    #Special76    ":" : [highlighted_font_image.get_region(284, 76, 8, 35), 0, -0.5],77    "," : [highlighted_font_image.get_region(300, 70, 11, 35), -1, -5],78    "'" : [highlighted_font_image.get_region(354, 76, 6, 35), 0, -0.5],79    r'"' : [highlighted_font_image.get_region(370, 76, 12, 35), 0, -0.5],80    "." : [highlighted_font_image.get_region(319, 76, 8, 32), 0, -0.5],81    "?" : [highlighted_font_image.get_region(7, 112, 16, 32), 0, -0.5],82    "!" : [highlighted_font_image.get_region(35, 112, 8, 32), 0, -0.5],
...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.