-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathglobals.py
54 lines (46 loc) · 1.9 KB
/
globals.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
import streamlit as st
# local
from images import caching_images
def init_globals():
# JSON data -----------------------------------------
if "json_data" not in st.session_state:
st.session_state.json_data = []
if "json_data_tmp" not in st.session_state:
st.session_state.json_data_tmp = None
if "json_out" not in st.session_state:
st.session_state.json_out = []
# Images -----------------------------------------
if "pil_imgs" not in st.session_state:
st.session_state.pil_imgs = []
if "cropped_imgs" not in st.session_state:
st.session_state.cropped_imgs = []
# VARIABLES -----------------------------------------
if "cur_i" not in st.session_state:
st.session_state.cur_i = 0
if "seg_binary" not in st.session_state:
st.session_state.seg_binary = 0
if "seg_watershed" not in st.session_state:
st.session_state.seg_watershed = 0
def update_globals():
n_imgs = st.session_state.n_imgs
if len(st.session_state.json_data) == 0:
print("First time loading")
st.session_state.json_data = [None for _ in range(n_imgs)]
st.session_state.json_out = [
{
"filename": "unknown",
"objects": [],
}
for _ in range(n_imgs)
]
st.session_state.pil_imgs = [None for _ in range(n_imgs)]
st.session_state.cropped_imgs = [None for _ in range(n_imgs)]
caching_images()
elif len(st.session_state.json_data) < n_imgs:
print("More images uploaded")
n_extra = n_imgs - len(st.session_state.json_data)
st.session_state.json_data += [None for _ in range(n_extra)]
st.session_state.json_out += [None for _ in range(n_extra)]
st.session_state.pil_imgs += [None for _ in range(n_extra)]
st.session_state.cropped_imgs += [None for _ in range(n_extra)]
caching_images()