SYMBOL INDEX (147 symbols across 15 files)

FILE: data/__init__.py
  function detection_collate (line 9) | def detection_collate(batch):
  function base_transform (line 30) | def base_transform(image, size, mean):
  class BaseTransform (line 37) | class BaseTransform:
    method __init__ (line 38) | def __init__(self, size, mean):
    method __call__ (line 42) | def __call__(self, image, boxes=None, labels=None):

FILE: data/coco.py
  function get_label_map (line 33) | def get_label_map(label_file):
  class COCOAnnotationTransform (line 42) | class COCOAnnotationTransform(object):
    method __init__ (line 46) | def __init__(self):
    method __call__ (line 49) | def __call__(self, target, width, height):
  class COCODetection (line 75) | class COCODetection(data.Dataset):
    method __init__ (line 86) | def __init__(self, root, image_set='trainval35k', transform=None,
    method __getitem__ (line 98) | def __getitem__(self, index):
    method __len__ (line 109) | def __len__(self):
    method pull_item (line 112) | def pull_item(self, index):
    method pull_image (line 141) | def pull_image(self, index):
    method pull_anno (line 156) | def pull_anno(self, index):
    method __repr__ (line 172) | def __repr__(self):

FILE: data/voc0712.py
  class VOCAnnotationTransform (line 30) | class VOCAnnotationTransform(object):
    method __init__ (line 43) | def __init__(self, class_to_ind=None, keep_difficult=False):
    method __call__ (line 48) | def __call__(self, target, width, height):
  class VOCDetection (line 79) | class VOCDetection(data.Dataset):
    method __init__ (line 96) | def __init__(self, root,
    method __getitem__ (line 113) | def __getitem__(self, index):
    method __len__ (line 118) | def __len__(self):
    method pull_item (line 121) | def pull_item(self, index):
    method pull_image (line 140) | def pull_image(self, index):
    method pull_anno (line 154) | def pull_anno(self, index):
    method pull_tensor (line 171) | def pull_tensor(self, index):

FILE: demo/live.py
  function cv2_demo (line 20) | def cv2_demo(net, transform):

FILE: eval.py
  function str2bool (line 32) | def str2bool(v):
  class Timer (line 79) | class Timer(object):
    method __init__ (line 81) | def __init__(self):
    method tic (line 88) | def tic(self):
    method toc (line 93) | def toc(self, average=True):
  function parse_rec (line 104) | def parse_rec(filename):
  function get_output_dir (line 124) | def get_output_dir(name, phase):
  function get_voc_results_file_template (line 136) | def get_voc_results_file_template(image_set, cls):
  function write_voc_results_file (line 146) | def write_voc_results_file(all_boxes, dataset):
  function do_python_eval (line 163) | def do_python_eval(output_dir='output', use_07=True):
  function voc_ap (line 194) | def voc_ap(rec, prec, use_07_metric=True):
  function voc_eval (line 228) | def voc_eval(detpath,
  function test_net (line 364) | def test_net(save_folder, net, cuda, dataset, transform, top_k,
  function evaluate_detections (line 416) | def evaluate_detections(box_list, output_dir, dataset):

FILE: layers/box_utils.py
  function point_form (line 6) | def point_form(boxes):
  function center_size (line 18) | def center_size(boxes):
  function intersect (line 30) | def intersect(box_a, box_b):
  function jaccard (line 51) | def jaccard(box_a, box_b):
  function IoG (line 71) | def IoG(box_a, box_b):
  function match (line 91) | def match(threshold, predicts, truths, priors, variances, labels, loc_t,...
  function encode (line 154) | def encode(matched, priors, variances):
  function decode (line 179) | def decode(loc, priors, variances):
  function decode_new (line 199) | def decode_new(loc, priors, variances):
  function log_sum_exp (line 218) | def log_sum_exp(x):
  function nms (line 232) | def nms(boxes, scores, overlap=0.5, top_k=200):

FILE: layers/functions/detection.py
  class Detect (line 7) | class Detect(Function):
    method __init__ (line 13) | def __init__(self, num_classes, bkg_label, top_k, conf_thresh, nms_thr...
    method forward (line 24) | def forward(self, loc_data, conf_data, prior_data):

FILE: layers/functions/prior_box.py
  class PriorBox (line 7) | class PriorBox(object):
    method __init__ (line 11) | def __init__(self, cfg):
    method forward (line 28) | def forward(self):

FILE: layers/modules/l2norm.py
  class L2Norm (line 7) | class L2Norm(nn.Module):
    method __init__ (line 8) | def __init__(self,n_channels, scale):
    method reset_parameters (line 16) | def reset_parameters(self):
    method forward (line 19) | def forward(self, x):

FILE: layers/modules/multibox_loss.py
  class MultiBoxLoss (line 12) | class MultiBoxLoss(nn.Module):
    method __init__ (line 35) | def __init__(self, num_classes, overlap_thresh, prior_for_matching,
    method forward (line 50) | def forward(self, predictions, targets):

FILE: layers/modules/repulsion_loss.py
  class RepulsionLoss (line 12) | class RepulsionLoss(nn.Module):
    method __init__ (line 14) | def __init__(self, use_gpu=True, sigma=0.):
    method smoothln (line 21) | def smoothln(self, x, sigma=0.):
    method forward (line 24) | def forward(self, loc_data, ground_data, prior_data):

FILE: ssd.py
  class SSD (line 10) | class SSD(nn.Module):
    method __init__ (line 28) | def __init__(self, phase, size, base, extras, head, num_classes):
    method forward (line 50) | def forward(self, x):
    method load_weights (line 113) | def load_weights(self, base_file):
  function vgg (line 126) | def vgg(cfg, i, batch_norm=False):
  function add_extras (line 149) | def add_extras(cfg, i, batch_norm=False):
  function multibox (line 166) | def multibox(vgg, extra_layers, cfg, num_classes):
  function build_ssd (line 198) | def build_ssd(phase, size=300, num_classes=21):

FILE: test.py
  function test_net (line 38) | def test_net(save_folder, net, cuda, testset, transform, thresh):
  function test_voc (line 81) | def test_voc():

FILE: train.py
  function str2bool (line 20) | def str2bool(v):
  function train (line 74) | def train():
  function adjust_learning_rate (line 213) | def adjust_learning_rate(optimizer, gamma, step):
  function xavier (line 224) | def xavier(param):
  function weights_init (line 228) | def weights_init(m):
  function create_vis_plot (line 234) | def create_vis_plot(_xlabel, _ylabel, _title, _legend):
  function update_vis_plot (line 247) | def update_vis_plot(iteration, loc, conf, window1, window2, update_type,

FILE: utils/augmentations.py
  function intersect (line 9) | def intersect(box_a, box_b):
  function jaccard_numpy (line 16) | def jaccard_numpy(box_a, box_b):
  class Compose (line 36) | class Compose(object):
    method __init__ (line 47) | def __init__(self, transforms):
    method __call__ (line 50) | def __call__(self, img, boxes=None, labels=None):
  class Lambda (line 56) | class Lambda(object):
    method __init__ (line 59) | def __init__(self, lambd):
    method __call__ (line 63) | def __call__(self, img, boxes=None, labels=None):
  class ConvertFromInts (line 67) | class ConvertFromInts(object):
    method __call__ (line 68) | def __call__(self, image, boxes=None, labels=None):
  class SubtractMeans (line 72) | class SubtractMeans(object):
    method __init__ (line 73) | def __init__(self, mean):
    method __call__ (line 76) | def __call__(self, image, boxes=None, labels=None):
  class ToAbsoluteCoords (line 82) | class ToAbsoluteCoords(object):
    method __call__ (line 83) | def __call__(self, image, boxes=None, labels=None):
  class ToPercentCoords (line 93) | class ToPercentCoords(object):
    method __call__ (line 94) | def __call__(self, image, boxes=None, labels=None):
  class Resize (line 104) | class Resize(object):
    method __init__ (line 105) | def __init__(self, size=300):
    method __call__ (line 108) | def __call__(self, image, boxes=None, labels=None):
  class RandomSaturation (line 114) | class RandomSaturation(object):
    method __init__ (line 115) | def __init__(self, lower=0.5, upper=1.5):
    method __call__ (line 121) | def __call__(self, image, boxes=None, labels=None):
  class RandomHue (line 128) | class RandomHue(object):
    method __init__ (line 129) | def __init__(self, delta=18.0):
    method __call__ (line 133) | def __call__(self, image, boxes=None, labels=None):
  class RandomLightingNoise (line 141) | class RandomLightingNoise(object):
    method __init__ (line 142) | def __init__(self):
    method __call__ (line 147) | def __call__(self, image, boxes=None, labels=None):
  class ConvertColor (line 155) | class ConvertColor(object):
    method __init__ (line 156) | def __init__(self, current='BGR', transform='HSV'):
    method __call__ (line 160) | def __call__(self, image, boxes=None, labels=None):
  class RandomContrast (line 170) | class RandomContrast(object):
    method __init__ (line 171) | def __init__(self, lower=0.5, upper=1.5):
    method __call__ (line 178) | def __call__(self, image, boxes=None, labels=None):
  class RandomBrightness (line 185) | class RandomBrightness(object):
    method __init__ (line 186) | def __init__(self, delta=32):
    method __call__ (line 191) | def __call__(self, image, boxes=None, labels=None):
  class ToCV2Image (line 198) | class ToCV2Image(object):
    method __call__ (line 199) | def __call__(self, tensor, boxes=None, labels=None):
  class ToTensor (line 203) | class ToTensor(object):
    method __call__ (line 204) | def __call__(self, cvimage, boxes=None, labels=None):
  class RandomSampleCrop (line 208) | class RandomSampleCrop(object):
    method __init__ (line 221) | def __init__(self):
    method __call__ (line 234) | def __call__(self, image, boxes=None, labels=None):
  class Expand (line 312) | class Expand(object):
    method __init__ (line 313) | def __init__(self, mean):
    method __call__ (line 316) | def __call__(self, image, boxes, labels):
  class RandomMirror (line 340) | class RandomMirror(object):
    method __call__ (line 341) | def __call__(self, image, boxes, classes):
  class SwapChannels (line 350) | class SwapChannels(object):
    method __init__ (line 358) | def __init__(self, swaps):
    method __call__ (line 361) | def __call__(self, image):
  class PhotometricDistort (line 376) | class PhotometricDistort(object):
    method __init__ (line 377) | def __init__(self):
    method __call__ (line 389) | def __call__(self, image, boxes, labels):
  class SSDAugmentation (line 400) | class SSDAugmentation(object):
    method __init__ (line 401) | def __init__(self, size=300, mean=(104, 117, 123)):
    method __call__ (line 416) | def __call__(self, img, boxes, labels):