SYMBOL INDEX (108 symbols across 16 files)

FILE: frcnn.py
  class FRCNN (line 23) | class FRCNN(object):
    method get_defaults (line 54) | def get_defaults(cls, n):
    method __init__ (line 63) | def __init__(self, **kwargs):
    method generate (line 92) | def generate(self):
    method detect_image (line 106) | def detect_image(self, image, crop = False, count = False):
    method get_FPS (line 226) | def get_FPS(self, image, test_interval):
    method get_map_txt (line 295) | def get_map_txt(self, image_id, image, class_names, map_out_path):

FILE: nets/classifier.py
  class RoiPoolingConv (line 10) | class RoiPoolingConv(Layer):
    method __init__ (line 11) | def __init__(self, pool_size, **kwargs):
    method build (line 15) | def build(self, input_shape):
    method compute_output_shape (line 18) | def compute_output_shape(self, input_shape):
    method call (line 22) | def call(self, x, mask=None):
  function get_resnet50_classifier (line 61) | def get_resnet50_classifier(base_layers, input_rois, roi_size, num_class...
  function get_vgg_classifier (line 77) | def get_vgg_classifier(base_layers, input_rois, roi_size, num_classes=21):

FILE: nets/frcnn.py
  function get_model (line 10) | def get_model(num_classes, backbone, num_anchors = 9, input_shape=[None,...
  function get_predict_model (line 51) | def get_predict_model(num_classes, backbone, num_anchors = 9):

FILE: nets/frcnn_training.py
  function rpn_cls_loss (line 10) | def rpn_cls_loss():
  function rpn_smooth_l1 (line 47) | def rpn_smooth_l1(sigma = 1.0):
  function classifier_cls_loss (line 88) | def classifier_cls_loss():
  function classifier_smooth_l1 (line 93) | def classifier_smooth_l1(num_classes, sigma = 1.0):
  class ProposalTargetCreator (line 117) | class ProposalTargetCreator(object):
    method __init__ (line 118) | def __init__(self, num_classes, n_sample=128, pos_ratio=0.5, pos_iou_t...
    method bbox_iou (line 130) | def bbox_iou(self, bbox_a, bbox_b):
    method bbox2loc (line 141) | def bbox2loc(self, src_bbox, dst_bbox):
    method calc_iou (line 164) | def calc_iou(self, R, all_boxes):
  function get_lr_scheduler (line 249) | def get_lr_scheduler(lr_decay_type, lr, min_lr, total_iters, warmup_iter...

FILE: nets/resnet.py
  function identity_block (line 11) | def identity_block(input_tensor, kernel_size, filters, stage, block):
  function conv_block (line 34) | def conv_block(input_tensor, kernel_size, filters, stage, block, strides...
  function ResNet50 (line 62) | def ResNet50(inputs):
  function identity_block_td (line 99) | def identity_block_td(input_tensor, kernel_size, filters, stage, block):
  function conv_block_td (line 120) | def conv_block_td(input_tensor, kernel_size, filters, stage, block, stri...
  function resnet50_classifier_layers (line 143) | def resnet50_classifier_layers(x):

FILE: nets/rpn.py
  function get_rpn (line 9) | def get_rpn(base_layers, num_anchors):

FILE: nets/vgg.py
  function VGG16 (line 5) | def VGG16(inputs):
  function vgg_classifier_layers (line 34) | def vgg_classifier_layers(x):

FILE: utils/anchors.py
  function generate_anchors (line 8) | def generate_anchors(sizes = [128, 256, 512], ratios = [[1, 1], [1, 2], ...
  function shift (line 25) | def shift(shape, anchors, stride=16):
  function get_resnet50_output_length (line 58) | def get_resnet50_output_length(height, width):
  function get_vgg_output_length (line 71) | def get_vgg_output_length(height, width):
  function get_anchors (line 81) | def get_anchors(input_shape, backbone, sizes = [128, 256, 512], ratios =...

FILE: utils/callbacks.py
  class LossHistory (line 21) | class LossHistory(keras.callbacks.Callback):
    method __init__ (line 22) | def __init__(self, log_dir):
    method on_epoch_end (line 30) | def on_epoch_end(self, epoch, logs={}):
    method loss_plot (line 45) | def loss_plot(self):
  class EvalCallback (line 73) | class EvalCallback(keras.callbacks.Callback):
    method __init__ (line 74) | def __init__(self, model_rpn, model_all, backbone, input_shape, anchor...
    method get_map_txt (line 108) | def get_map_txt(self, image_id, image, class_names, map_out_path):
    method on_epoch_end (line 180) | def on_epoch_end(self, epoch, logs=None):

FILE: utils/dataloader.py
  class FRCNNDatasets (line 26) | class FRCNNDatasets(keras.utils.Sequence):
    method __init__ (line 27) | def __init__(self, annotation_lines, input_shape, anchors, batch_size,...
    method __len__ (line 41) | def __len__(self):
    method __getitem__ (line 44) | def __getitem__(self, index):
    method generate (line 92) | def generate(self):
    method on_epoch_end (line 144) | def on_epoch_end(self):
    method rand (line 147) | def rand(self, a=0, b=1):
    method get_random_data (line 150) | def get_random_data(self, annotation_line, input_shape, jitter=.3, hue...
    method iou (line 265) | def iou(self, box):
    method encode_ignore_box (line 292) | def encode_ignore_box(self, box, return_iou=True, variances = [0.25, 0...
    method assign_boxes (line 349) | def assign_boxes(self, boxes):
  function init_pool (line 415) | def init_pool(seqs):
  function get_index (line 420) | def get_index(uid, i):
  class SequenceEnqueuer (line 437) | class SequenceEnqueuer(object):
    method is_running (line 460) | def is_running(self):
    method start (line 464) | def start(self, workers=1, max_queue_size=10):
    method stop (line 475) | def stop(self, timeout=None):
    method get (line 486) | def get(self):
  class OrderedEnqueuer (line 498) | class OrderedEnqueuer(SequenceEnqueuer):
    method __init__ (line 509) | def __init__(self, sequence,
    method is_running (line 541) | def is_running(self):
    method start (line 544) | def start(self, workers=1, max_queue_size=10):
    method _wait_queue (line 566) | def _wait_queue(self):
    method _run (line 573) | def _run(self):
    method get (line 599) | def get(self):
    method _send_sequence (line 619) | def _send_sequence(self):
    method stop (line 624) | def stop(self, timeout=None):

FILE: utils/utils.py
  function cvtColor (line 9) | def cvtColor(image):
  function resize_image (line 19) | def resize_image(image, size):
  function get_classes (line 27) | def get_classes(classes_path):
  function show_config (line 33) | def show_config(**kwargs):
  function get_new_img_size (line 45) | def get_new_img_size(height, width, img_min_side=600):
  function net_flops (line 61) | def net_flops(model, table=False, print_result=True):

FILE: utils/utils_bbox.py
  class BBoxUtility (line 8) | class BBoxUtility(object):
    method __init__ (line 9) | def __init__(self, num_classes, rpn_pre_boxes = 12000, rpn_nms = 0.7, ...
    method decode_boxes (line 28) | def decode_boxes(self, mbox_loc, anchors, variances):
    method detection_out_rpn (line 63) | def detection_out_rpn(self, predictions, anchors, variances = [0.25, 0...
    method frcnn_correct_boxes (line 103) | def frcnn_correct_boxes(self, box_xy, box_wh, input_shape, image_shape):
    method detection_out_classifier (line 118) | def detection_out_classifier(self, predictions, rpn_results, image_sha...

FILE: utils/utils_fit.py
  function write_log (line 9) | def write_log(callback, names, logs, batch_no):
  function fit_one_epoch (line 15) | def fit_one_epoch(model_rpn, model_all, loss_history, eval_callback, cal...

FILE: utils/utils_map.py
  function log_average_miss_rate (line 31) | def log_average_miss_rate(precision, fp_cumsum, num_images):
  function error (line 72) | def error(msg):
  function is_float_between_0_and_1 (line 79) | def is_float_between_0_and_1(value):
  function voc_ap (line 95) | def voc_ap(rec, prec):
  function file_lines_to_list (line 142) | def file_lines_to_list(path):
  function draw_text_in_image (line 153) | def draw_text_in_image(img, text, pos, color, line_width):
  function adjust_axes (line 170) | def adjust_axes(r, t, fig, axes):
  function draw_plot_func (line 185) | def draw_plot_func(dictionary, n_classes, window_title, plot_title, x_la...
  function get_map (line 276) | def get_map(MINOVERLAP, draw_plot, score_threhold=0.5, path = './map_out'):
  function preprocess_gt (line 800) | def preprocess_gt(gt_path, class_names):
  function preprocess_dr (line 870) | def preprocess_dr(dr_path, class_names):
  function get_coco_map (line 894) | def get_coco_map(class_names, path):

FILE: vision_for_anchor.py
  function generate_anchors (line 8) | def generate_anchors(sizes = [128, 256, 512], ratios = [[1, 1], [1, 2], ...
  function shift (line 25) | def shift(shape, anchors, stride=16):
  function get_resnet50_output_length (line 76) | def get_resnet50_output_length(height, width):
  function get_vgg_output_length (line 89) | def get_vgg_output_length(height, width):
  function get_anchors (line 99) | def get_anchors(input_shape, backbone, sizes = [128, 256, 512], ratios =...

FILE: voc_annotation.py
  function convert_annotation (line 45) | def convert_annotation(year, image_id, list_file):
  function printTable (line 126) | def printTable(List1, List2):