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How to use show_segment method in tempest

Best Python code snippet using tempest_python

HunkShow.py

Source:HunkShow.py

...35      print "Library #%d" % lib['lib_no']36      for unit in lib['units']:37        self.print_unit(unit['unit_no'], unit['name'])38        for segment in unit['segments']:39          self.show_segment(segment, unit['segments'])40  def show_unit_segments(self):41    for unit in self.units:42      self.print_unit(unit['unit_no'], unit['name'])43      for segment in unit['segments']:44        self.show_segment(segment, unit['segments'])45  def show_loadseg_segments(self):46    # header + segments47    if not self.brief:48      self.print_header(self.header)49    for segment in self.segments:50      self.show_segment(segment, self.segments)51    # overlay52    if self.overlay != None:53      print "Overlay"54      num_ov = len(self.overlay_headers)55      for o in xrange(num_ov):56        if not self.brief:57          self.print_header(self.overlay_headers[o])58        for segment in self.overlay_segments[o]:59          self.show_segment(segment, self.overlay_segments[o])60  def show_segment(self, hunk, seg_list):61    main = hunk[0]62    # unit hunks are named63    name = ""64    if hunk[0].has_key('name'):65      name = "'%s'" % main['name']66    type_name = main['type_name'].replace("HUNK_","")67    size = main['size']68    hunk_no = main['hunk_no']69    if main.has_key('data_file_offset'):70      data_file_offset = main['data_file_offset']71    else:72      data_file_offset = None73    hunk_file_offset = main['hunk_file_offset']74    if main.has_key('alloc_size'):...

homography.py

Source:homography.py

1import os2from pathlib import Path3import cv24import numpy as np5from visualize import vis_utils6from homography import transform_calculator7from homography.line import Line8def find_homography_lines(img,9                          rotate=False,10                          warp=False,11                          vis=False,12                          write=False,13                          output_name=None):14    """15    Find homography transform using line detection16    :param output_name:17    :param img:18    :param rotate:19    :param warp:20    :param vis:21    :param write:22    :return:23    """24    if rotate:25        img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)26    h, w = img.shape[:2]27    all_line, v_lines, h_lines = transform_calculator.get_lines(img)28    if output_name is not None:29        output_name_base = output_name.rsplit('.', 1)[0]30    else:31        output_name_base = 'test'32    if vis:33        # Drawing org lines34        # for org_line in all_line:35        #     Line(org_line).draw(img, show_segment=False, long=False, line_color=(244, 0, 123))36        for org_line in h_lines:37            Line(org_line).draw(img, show_segment=False, long=False, line_color=(0, 0, 255))38        for org_line in v_lines:39            Line(org_line).draw(img, show_segment=False, long=False)40    vis_utils.show_img(img, output_name_base + '_line_detections.jpg', show=vis, write=write)41    thetas = [line[7] for line in v_lines]42    already_vertical = False43    if np.count_nonzero(abs(np.float32(thetas)) > 88) > 10:  # many vertical lines44        already_vertical = True45        vanishing_point = [w / 2, 1000000000000]46        custom_lines = [Line(vanishing_point + [line[2], line[3]]) for line in v_lines]47        # custom_lines = [Line(line) for line in v_lines]48        # custom_lines = [Line(line.get_segment(0,w-1,0,h-1)) for line in custom_lines]49    else:50        vanishing_point = transform_calculator.get_vanishing_point(v_lines)51        custom_lines = [Line(vanishing_point + [line[2], line[3]]) for line in v_lines]52    for line in custom_lines:53        line.get_segment(0, w - 1, 0, h - 1)54    line1, line2 = transform_calculator.pick_two_good_lines(custom_lines, thres_length=h)55    if vis:56        # Drawing long lines57        for custom_line in custom_lines:58            custom_line.draw(img, show_segment=False)59        for custom_line in [line1, line2]:60            custom_line.draw(img, show_segment=False, line_color=(0, 100, 230))61    vis_utils.show_img(img, output_name_base + '_line_filter.jpg', show=vis, write=write)62    if not already_vertical:63        M_v, _ = transform_calculator.transform_from_vertical_lines(line1=line1, line2=line2, img=img, warp=False)64    else:65        M_v = np.eye(3)66    M_h, _ = transform_calculator.transform_from_horizontal_lines(line1, line2, h_lines, M_v)67    M_final = np.float32(M_h) @ np.float32(M_v)68    M_final_correct, img_final = transform_calculator.perspective_warp(img, M_final, warp=warp)69    vis_utils.show_img(img_final, output_name_base + '_line_homography_warped.jpg', show=vis, write=write)70    return M_final_correct, img_final71def find_homography_lines_video(video_dir, video_name, output_file=None):72    """73    Find homograhies for all frames in a video74    :param video_dir:75    :param video_name:76    :param output_file: output homographies to that file77    :return:78    """79    if output_file is not None and Path(output_file).exists():80        line_homographies = np.load(output_file)81    else:82        video_path = f'{video_dir}/{video_name}.mp4'83        vidcap = cv2.VideoCapture(video_path)84        line_homographies = []85        rotate = False86        while True:87            it_worked, img = vidcap.read()88            if not it_worked:89                break90            line_homography, _ = find_homography_lines(img, rotate=rotate, vis=False)91            line_homographies.append(line_homography)92        if output_file is not None:93            os.makedirs(str(Path(output_file).parent), exist_ok=True)94            with open(output_file, 'wb') as f:95                np.save(f, line_homographies)...

ioc.py

Source:ioc.py

...32    if debugging:33        print(*args, file=sys.stderr, **kwargs)34def ERR(*args, **kwargs):35    print(*args, file=sys.stderr, **kwargs)36def show_segment(segments, index):37    lines = segments[index].split('\n')38    DEBUG(f's[{index}] =>\n{lines}\n----\n')39def _run_txt2csv(path, view=None, tab=False):40    DEBUG(f'running `refs` subcommand, path={path}, view={view}, tab={tab}')41    buffer = sys.stdin.read() if path == '-' else open(path).read()42    text = str(buffer)43    segments = text.split('\n\n\n\n')44    DEBUG(f'segments => {len(segments)}')45    # show_segment(segments, 0)46    # show_segment(segments, 1)47    # show_segment(segments, 2)48    # show_segment(segments, 3)49    # show_segment(segments, 4)50    separator = '\t' if tab else ','51    data = segments[1] if view == "peripheral" else segments[3]52    lines = data.split('\n')53    xs = [ (x.split('\t')) for x in lines ]54    xs = [ (separator.join(x)) for x in xs ]55    xs = '\n'.join(xs)56    print(xs)57    return 058def _build_parser():59    ###60    # Inspired by: https://medium.com/@dboyliao/python-%E8%B6%85%E5%A5%BD%E7%94%A8%E6%A8%99%E6%BA%96%E5%87%BD%E5%BC%8F%E5%BA%AB-argparse-part-2-b5a178f0881361    #62    parser = argparse.ArgumentParser()63    subcmd = parser.add_subparsers(dest='subcmd', help='subcommands', metavar='SUBCOMMAND')...

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