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name: "ResNet-50"
layer {
name: 'input-data'
type: 'Python'
top: 'data'
top: 'im_info'
top: 'gt_boxes'
python_param {
module: 'roi_data_layer.layer'
layer: 'RoIDataLayer'
name: "RESNET_Mask-RCNN"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224
input: "rois"
input_dim: 1 # to be changed on-the-fly to num ROIs
import math
import pandas as pd
shots = pd.read_csv('shots.csv')
faces = pd.read_csv('face_result.csv')
significant_scenes = []
for idx, row in shots.iterrows():
frames = list(range(
int(round(row['begin'])),
import csv
import io
import os
from google.cloud import vision
def detect_faces(path):
client = vision.ImageAnnotatorClient()
@mrteera
mrteera / 11480941025.txt
Created December 5, 2016 12:30
Mejelly Test
<p>This is the translation</p>
@mrteera
mrteera / 11480939621.txt
Created December 5, 2016 12:07
Mejelly Test
<p>This is the translation</p>
@mrteera
mrteera / 11480938281.txt
Created December 5, 2016 11:44
Mejelly Test
<p>This is the translation</p>
@mrteera
mrteera / 11480936418.txt
Created December 5, 2016 11:13
Mejelly Test
hello
@mrteera
mrteera / 11480935180.txt
Created December 5, 2016 10:53
Mejelly Test
<p>This is the translation</p>
@mrteera
mrteera / 11480934029.txt
Created December 5, 2016 10:33
Mejelly Test
<p>This is the translation</p>