Commit
·
83e5a4c
1
Parent(s):
027bc4a
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,6 +3,7 @@ import os
|
|
| 3 |
import random
|
| 4 |
import numpy as np
|
| 5 |
import gdown
|
|
|
|
| 6 |
from time import gmtime, strftime
|
| 7 |
from csv import writer
|
| 8 |
|
|
@@ -39,13 +40,26 @@ else: # local data
|
|
| 39 |
VIDEO_PATH = 'robotinder-data'
|
| 40 |
|
| 41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
def video_identity(video):
|
| 43 |
return video
|
| 44 |
|
| 45 |
def nan():
|
| 46 |
return None
|
| 47 |
|
| 48 |
-
FORMAT = ['mp4', 'gif'][
|
| 49 |
|
| 50 |
def get_huggingface_dataset():
|
| 51 |
try:
|
|
@@ -78,7 +92,9 @@ def get_huggingface_dataset():
|
|
| 78 |
def update(user_choice, left, right, data_folder=VIDEO_PATH, flag_to_huggingface=True):
|
| 79 |
global last_left_video_path
|
| 80 |
global last_right_video_path
|
| 81 |
-
|
|
|
|
|
|
|
| 82 |
if flag_to_huggingface: # log
|
| 83 |
env_name = str(last_left_video_path).split('/')[1] # 'robotinder-data/ENV_NAME/'
|
| 84 |
current_time = strftime("%Y-%m-%d-%H-%M-%S", gmtime())
|
|
@@ -110,7 +126,10 @@ def update(user_choice, left, right, data_folder=VIDEO_PATH, flag_to_huggingface
|
|
| 110 |
right = video_files[selected_video_ids[1]]
|
| 111 |
last_left_video_path = left
|
| 112 |
last_right_video_path = right
|
| 113 |
-
|
|
|
|
|
|
|
|
|
|
| 114 |
|
| 115 |
def replay(left, right):
|
| 116 |
return left, right
|
|
@@ -123,6 +142,10 @@ def parse_envs(folder=VIDEO_PATH):
|
|
| 123 |
return envs
|
| 124 |
|
| 125 |
def build_interface(iter=3, data_folder=VIDEO_PATH):
|
|
|
|
|
|
|
|
|
|
|
|
|
| 126 |
HF_TOKEN = os.getenv('HF_TOKEN')
|
| 127 |
print(HF_TOKEN)
|
| 128 |
HF_TOKEN = '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' # my HF token
|
|
@@ -130,7 +153,7 @@ def build_interface(iter=3, data_folder=VIDEO_PATH):
|
|
| 130 |
hf_writer = HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-robotinder-demo")
|
| 131 |
# callback = gr.CSVLogger()
|
| 132 |
callback = hf_writer
|
| 133 |
-
|
| 134 |
# build gradio interface
|
| 135 |
with gr.Blocks() as demo:
|
| 136 |
gr.Markdown("Here is RoboTinder!")
|
|
@@ -150,8 +173,13 @@ def build_interface(iter=3, data_folder=VIDEO_PATH):
|
|
| 150 |
left_video_path = video_files[selected_video_ids[0]]
|
| 151 |
right_video_path = video_files[selected_video_ids[1]]
|
| 152 |
if FORMAT == 'mp4':
|
| 153 |
-
left = gr.PlayableVideo(left_video_path, label="left_video")
|
| 154 |
-
right = gr.PlayableVideo(right_video_path, label="right_video")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 155 |
else:
|
| 156 |
left = gr.Image(left_video_path, shape=(1024, 768), label="left_video")
|
| 157 |
# right = gr.Image(right_video_path).style(height=768, width=1024)
|
|
@@ -162,6 +190,11 @@ def build_interface(iter=3, data_folder=VIDEO_PATH):
|
|
| 162 |
global last_right_video_path
|
| 163 |
last_right_video_path = right_video_path
|
| 164 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 165 |
btn1 = gr.Button("Replay")
|
| 166 |
user_choice = gr.Radio(["Left", "Right", "Not Sure"], label="Which one is your favorite?")
|
| 167 |
btn2 = gr.Button("Next")
|
|
|
|
| 3 |
import random
|
| 4 |
import numpy as np
|
| 5 |
import gdown
|
| 6 |
+
import base64
|
| 7 |
from time import gmtime, strftime
|
| 8 |
from csv import writer
|
| 9 |
|
|
|
|
| 40 |
VIDEO_PATH = 'robotinder-data'
|
| 41 |
|
| 42 |
|
| 43 |
+
def inference(video_path):
|
| 44 |
+
with open(video_path, "rb") as f:
|
| 45 |
+
data = f.read()
|
| 46 |
+
b64 = base64.b64encode(data).decode()
|
| 47 |
+
html = (
|
| 48 |
+
f"""
|
| 49 |
+
<video controls autoplay muted loop>
|
| 50 |
+
<source src="data:video/mp4;base64,{b64}" type="video/mp4">
|
| 51 |
+
</video>
|
| 52 |
+
"""
|
| 53 |
+
)
|
| 54 |
+
return html
|
| 55 |
+
|
| 56 |
def video_identity(video):
|
| 57 |
return video
|
| 58 |
|
| 59 |
def nan():
|
| 60 |
return None
|
| 61 |
|
| 62 |
+
FORMAT = ['mp4', 'gif'][0]
|
| 63 |
|
| 64 |
def get_huggingface_dataset():
|
| 65 |
try:
|
|
|
|
| 92 |
def update(user_choice, left, right, data_folder=VIDEO_PATH, flag_to_huggingface=True):
|
| 93 |
global last_left_video_path
|
| 94 |
global last_right_video_path
|
| 95 |
+
global last_infer_left_video_path
|
| 96 |
+
global last_infer_right_video_path
|
| 97 |
+
|
| 98 |
if flag_to_huggingface: # log
|
| 99 |
env_name = str(last_left_video_path).split('/')[1] # 'robotinder-data/ENV_NAME/'
|
| 100 |
current_time = strftime("%Y-%m-%d-%H-%M-%S", gmtime())
|
|
|
|
| 126 |
right = video_files[selected_video_ids[1]]
|
| 127 |
last_left_video_path = left
|
| 128 |
last_right_video_path = right
|
| 129 |
+
last_infer_left_video_path = inference(left)
|
| 130 |
+
last_infer_right_video_path = inference(right)
|
| 131 |
+
|
| 132 |
+
return last_infer_left_video_path, last_infer_right_video_path
|
| 133 |
|
| 134 |
def replay(left, right):
|
| 135 |
return left, right
|
|
|
|
| 142 |
return envs
|
| 143 |
|
| 144 |
def build_interface(iter=3, data_folder=VIDEO_PATH):
|
| 145 |
+
import sys
|
| 146 |
+
import csv
|
| 147 |
+
csv.field_size_limit(sys.maxsize)
|
| 148 |
+
|
| 149 |
HF_TOKEN = os.getenv('HF_TOKEN')
|
| 150 |
print(HF_TOKEN)
|
| 151 |
HF_TOKEN = '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' # my HF token
|
|
|
|
| 153 |
hf_writer = HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-robotinder-demo")
|
| 154 |
# callback = gr.CSVLogger()
|
| 155 |
callback = hf_writer
|
| 156 |
+
|
| 157 |
# build gradio interface
|
| 158 |
with gr.Blocks() as demo:
|
| 159 |
gr.Markdown("Here is RoboTinder!")
|
|
|
|
| 173 |
left_video_path = video_files[selected_video_ids[0]]
|
| 174 |
right_video_path = video_files[selected_video_ids[1]]
|
| 175 |
if FORMAT == 'mp4':
|
| 176 |
+
# left = gr.PlayableVideo(left_video_path, label="left_video")
|
| 177 |
+
# right = gr.PlayableVideo(right_video_path, label="right_video")
|
| 178 |
+
|
| 179 |
+
infer_left_video_path = inference(left_video_path)
|
| 180 |
+
infer_right_video_path = inference(right_video_path)
|
| 181 |
+
right = gr.HTML(infer_right_video_path, label="right_video")
|
| 182 |
+
left = gr.HTML(infer_left_video_path, label="left_video")
|
| 183 |
else:
|
| 184 |
left = gr.Image(left_video_path, shape=(1024, 768), label="left_video")
|
| 185 |
# right = gr.Image(right_video_path).style(height=768, width=1024)
|
|
|
|
| 190 |
global last_right_video_path
|
| 191 |
last_right_video_path = right_video_path
|
| 192 |
|
| 193 |
+
global last_infer_left_video_path
|
| 194 |
+
last_infer_left_video_path = infer_left_video_path
|
| 195 |
+
global last_infer_right_video_path
|
| 196 |
+
last_infer_right_video_path = infer_right_video_path
|
| 197 |
+
|
| 198 |
btn1 = gr.Button("Replay")
|
| 199 |
user_choice = gr.Radio(["Left", "Right", "Not Sure"], label="Which one is your favorite?")
|
| 200 |
btn2 = gr.Button("Next")
|