SYMBOL INDEX (46 symbols across 12 files)

FILE: app.py
  function segmentation (line 16) | def segmentation(image_path):
  function upload (line 32) | def upload():
  function wechat_matting (line 47) | def wechat_matting():
  function seg (line 63) | def seg():
  function matting (line 83) | def matting():
  function clean (line 105) | def clean():

FILE: dice_loss.py
  class DiceCoeff (line 5) | class DiceCoeff(Function):
    method forward (line 8) | def forward(self, input, target):
    method backward (line 18) | def backward(self, grad_output):
  function dice_coeff (line 32) | def dice_coeff(input, target):

FILE: eval.py
  function eval_net (line 8) | def eval_net(net, loader, device, n_val):

FILE: predict.py
  function predict_img (line 17) | def predict_img(net,
  function get_args (line 53) | def get_args():
  function get_output_filenames (line 80) | def get_output_filenames(args):
  function mask_to_image (line 97) | def mask_to_image(mask):

FILE: submit.py
  function rle_encode (line 13) | def rle_encode(mask_image):
  function submit (line 26) | def submit(net, gpu=False):

FILE: train.py
  function train_net (line 23) | def train_net(net,
  function get_args (line 123) | def get_args():

FILE: unet/unet_model.py
  class UNet (line 8) | class UNet(nn.Module):
    method __init__ (line 9) | def __init__(self, n_channels, n_classes, bilinear=True):
    method forward (line 26) | def forward(self, x):

FILE: unet/unet_parts.py
  class DoubleConv (line 8) | class DoubleConv(nn.Module):
    method __init__ (line 11) | def __init__(self, in_channels, out_channels):
    method forward (line 22) | def forward(self, x):
  class Down (line 26) | class Down(nn.Module):
    method __init__ (line 29) | def __init__(self, in_channels, out_channels):
    method forward (line 36) | def forward(self, x):
  class Up (line 40) | class Up(nn.Module):
    method __init__ (line 43) | def __init__(self, in_channels, out_channels, bilinear=True):
    method forward (line 54) | def forward(self, x1, x2):
  class OutConv (line 69) | class OutConv(nn.Module):
    method __init__ (line 70) | def __init__(self, in_channels, out_channels):
    method forward (line 74) | def forward(self, x):

FILE: utils/data_vis.py
  function plot_img_and_mask (line 4) | def plot_img_and_mask(img, mask):

FILE: utils/dataset.py
  class BasicDataset (line 11) | class BasicDataset(Dataset):
    method __init__ (line 12) | def __init__(self, imgs_dir, masks_dir, scale=1):
    method __len__ (line 22) | def __len__(self):
    method preprocess (line 26) | def preprocess(cls, pil_img, scale):
    method __getitem__ (line 44) | def __getitem__(self, i):

FILE: web/flask_utils.py
  function tid_maker (line 6) | def tid_maker():
  function merge_image_name (line 10) | def merge_image_name(image1, image2):
  function change_image_channels (line 17) | def change_image_channels(image_content, save_path):
  function change_channels_to_rgb (line 27) | def change_channels_to_rgb(image_path):

FILE: web/matting.py
  function process (line 9) | def process(im_name, bg_name):
  function composite4 (line 25) | def composite4(fg, bg, a, w, h, name):