Upload 2 files
Browse files- app.py +205 -0
- requirements.txt +420 -0
app.py
ADDED
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1 |
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import requests
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import base64, torch
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from io import BytesIO
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import numpy as np
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import json
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from json import loads, dumps
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import matplotlib.pyplot as plt
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import cv2
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def resize_image(image):
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w, h = image.size
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print(w, h)
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max_w = 700
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max_h = 700
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if max_w<w and w>h:
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new_w = max_w
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new_h = int(h*(max_w/w))
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image = image.resize((new_w,new_h), Image.LANCZOS)
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elif max_h<h:
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new_h = max_h
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new_w = int(w*(max_h/h))
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image = image.resize((new_w,new_h), Image.LANCZOS)
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else:
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new_w, new_h = w, h
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return image, new_w, new_h
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def run_sam_remote(objects, img, url, use_mask):
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headers = {
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'ngrok-skip-browser-warning': 'sdfsd',
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'Content-Type': 'application/json'
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}
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buffered = BytesIO()
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img.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue())
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data = json.dumps({
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"image":img_str.decode()
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})
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r = requests.get(url=url+"/set_img", headers=headers, data=data)
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# print("r", r)
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# objects
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objects = objects.to_json()
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objects = loads(objects)
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objects = dumps(objects, indent=4)
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data = json.dumps({
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"objects":objects,
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"use_mask":use_mask
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})
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r = requests.get(url=url+"/run_last_img", headers=headers, data=data)
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# extracting data in json format
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data = json.loads(r.content.decode())
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# print(data)
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return data['image']
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def save_data_remote(objects, img, url):
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headers = {
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'ngrok-skip-browser-warning': 'sdfsd',
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'Content-Type': 'application/json'
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}
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buffered = BytesIO()
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img.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue())
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data = json.dumps({
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"image":img_str.decode()
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})
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r = requests.get(url=url+"/set_img", headers=headers, data=data)
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# print("r", r)
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# objects
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objects = objects.to_json()
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objects = loads(objects)
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objects = dumps(objects, indent=4)
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data = json.dumps({
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"objects":objects
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})
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requests.get(url=url+"/add_to_dataset", headers=headers, data=data)
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# extracting data in json format
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# data = json.loads(r.content.decode())
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# print(data)
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# return data['image']
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import pandas as pd
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from PIL import Image
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import streamlit as st
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from streamlit_drawable_canvas import st_canvas
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import torch
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import torchvision
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import sys
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# Specify canvas parameters in application
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url = st.sidebar.text_input("Enter URL:")
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drawing_mode = st.sidebar.selectbox(
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"Drawing tool:",
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("freedraw", "rect", "transform", "point"),
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)
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stroke_width = st.sidebar.slider("Stroke width: ", 1, 25, 3)
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if drawing_mode == 'point':
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point_display_radius = st.sidebar.slider("Point display radius: ", 1, 25, 3)
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stroke_color = st.sidebar.color_picker("Stroke color hex: ")
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bg_color = st.sidebar.color_picker("Background color hex: ", "#eee")
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bg_image = st.sidebar.file_uploader("Image:", type=["png", "jpg", "jpeg"])
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realtime_update = st.sidebar.checkbox("Update in realtime", True)
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use_mask = st.sidebar.checkbox("use last mask", True)
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def reset(url):
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headers = {
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'ngrok-skip-browser-warning': 'sdfsd',
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'Content-Type': 'application/json'
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}
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r = requests.get(url=url+"/reset", headers=headers)
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st.info("Backend reseted")
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def show_mask(mask, ax, random_color=False):
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if random_color:
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color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
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else:
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color = np.array([30/255, 144/255, 255/255, 0.6])
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h, w = mask.shape[-2:]
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mask_image = mask.reshape(h, w, 1) * color.reshape(1, 1, -1)
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ax.imshow(mask_image)
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def show_points(coords, labels, ax, marker_size=375):
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pos_points = coords[labels==1]
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neg_points = coords[labels==0]
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ax.scatter(pos_points[:, 0], pos_points[:, 1], color='green', marker='*', s=marker_size, edgecolor='white', linewidth=1.25)
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ax.scatter(neg_points[:, 0], neg_points[:, 1], color='red', marker='*', s=marker_size, edgecolor='white', linewidth=1.25)
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def show_box(box, ax):
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x0, y0 = box[0], box[1]
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w, h = box[2] - box[0], box[3] - box[1]
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ax.add_patch(plt.Rectangle((x0, y0), w, h, edgecolor='green', facecolor=(0,0,0,0), lw=2))
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if st.sidebar.checkbox("Show image", False) and bg_image is not None:
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image = Image.open(bg_image)
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image, width, height = resize_image(image)
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# Create a canvas component
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# width = image.size[0]
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# height = image.size[1]
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canvas_result = st_canvas(
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fill_color="rgba(255, 165, 0, 0.3)", # Fixed fill color with some opacity
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stroke_width=stroke_width,
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stroke_color=stroke_color,
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background_color=bg_color,
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background_image=image if bg_image else None,
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update_streamlit=realtime_update,
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height=height,
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width=width,
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drawing_mode=drawing_mode,
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point_display_radius=point_display_radius if drawing_mode == 'point' else 0,
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display_toolbar=st.sidebar.checkbox("Display toolbar", True),
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key="full_app",
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)
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if canvas_result.json_data is not None:
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objects = pd.json_normalize(canvas_result.json_data["objects"])
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for col in objects.select_dtypes(include=["object"]).columns:
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objects[col] = objects[col].astype("str")
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st.dataframe(objects)
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# st.write(str(type(objects)))
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data = None
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if st.sidebar.button('Run SAM'):
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data = None
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data = run_sam_remote(objects, image, url, use_mask)
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if data is not None:
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masks = data
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fig = plt.figure(figsize=(10, 10))
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pil_image = image#.convert('RGB')
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open_cv_image = np.array(pil_image)
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open_cv_image = open_cv_image.copy()
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plt.imshow(open_cv_image)
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for mask in masks:
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show_mask(np.array(mask), plt.gca(), random_color=True)
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plt.axis('off')
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st.pyplot(fig)
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data = None
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if st.sidebar.button('Save Data'):
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data = None
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save_data_remote(objects, image, url)
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st.info("All data saved successfully")
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if st.sidebar.button('Reset backend'):
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reset(url)
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requirements.txt
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1 |
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absl-py==1.4.0
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2 |
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alabaster==0.7.13
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3 |
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albumentations==1.2.1
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altair==4.2.2
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anyio==3.6.2
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appdirs==1.4.4
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argon2-cffi==21.3.0
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argon2-cffi-bindings==21.2.0
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array-record==0.2.0
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10 |
+
arviz==0.15.1
|
11 |
+
astropy==5.2.2
|
12 |
+
astunparse==1.6.3
|
13 |
+
attrs==23.1.0
|
14 |
+
audioread==3.0.0
|
15 |
+
autograd==1.5
|
16 |
+
Babel==2.12.1
|
17 |
+
backcall==0.2.0
|
18 |
+
beautifulsoup4==4.11.2
|
19 |
+
bleach==6.0.0
|
20 |
+
blinker==1.6.2
|
21 |
+
blis==0.7.9
|
22 |
+
blosc2==2.0.0
|
23 |
+
bokeh==2.4.3
|
24 |
+
branca==0.6.0
|
25 |
+
build==0.10.0
|
26 |
+
CacheControl==0.12.11
|
27 |
+
cached-property==1.5.2
|
28 |
+
cachetools==5.3.0
|
29 |
+
catalogue==2.0.8
|
30 |
+
certifi==2022.12.7
|
31 |
+
cffi==1.15.1
|
32 |
+
chardet==4.0.0
|
33 |
+
charset-normalizer==2.0.12
|
34 |
+
chex==0.1.7
|
35 |
+
click==8.1.3
|
36 |
+
cloudpickle==2.2.1
|
37 |
+
cmake==3.25.2
|
38 |
+
cmdstanpy==1.1.0
|
39 |
+
colorcet==3.0.1
|
40 |
+
colorlover==0.3.0
|
41 |
+
community==1.0.0b1
|
42 |
+
confection==0.0.4
|
43 |
+
cons==0.4.5
|
44 |
+
contextlib2==0.6.0.post1
|
45 |
+
contourpy==1.0.7
|
46 |
+
convertdate==2.4.0
|
47 |
+
cryptography==40.0.2
|
48 |
+
cufflinks==0.17.3
|
49 |
+
cvxopt==1.3.0
|
50 |
+
cvxpy==1.3.1
|
51 |
+
cycler==0.11.0
|
52 |
+
cymem==2.0.7
|
53 |
+
Cython==0.29.34
|
54 |
+
dask==2022.12.1
|
55 |
+
datascience==0.17.6
|
56 |
+
db-dtypes==1.1.1
|
57 |
+
dbus-python==1.2.16
|
58 |
+
debugpy==1.6.6
|
59 |
+
decorator==4.4.2
|
60 |
+
defusedxml==0.7.1
|
61 |
+
distributed==2022.12.1
|
62 |
+
dlib==19.24.1
|
63 |
+
dm-tree==0.1.8
|
64 |
+
docutils==0.16
|
65 |
+
dopamine-rl==4.0.6
|
66 |
+
duckdb==0.7.1
|
67 |
+
earthengine-api==0.1.350
|
68 |
+
easydict==1.10
|
69 |
+
ecos==2.0.12
|
70 |
+
editdistance==0.6.2
|
71 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl#sha256=0964370218b7e1672a30ac50d72cdc6b16f7c867496f1d60925691188f4d2510
|
72 |
+
entrypoints==0.4
|
73 |
+
ephem==4.1.4
|
74 |
+
et-xmlfile==1.1.0
|
75 |
+
etils==1.2.0
|
76 |
+
etuples==0.3.8
|
77 |
+
exceptiongroup==1.1.1
|
78 |
+
fastai==2.7.12
|
79 |
+
fastcore==1.5.29
|
80 |
+
fastdownload==0.0.7
|
81 |
+
fastjsonschema==2.16.3
|
82 |
+
fastprogress==1.0.3
|
83 |
+
fastrlock==0.8.1
|
84 |
+
filelock==3.12.0
|
85 |
+
firebase-admin==5.3.0
|
86 |
+
Flask==2.2.4
|
87 |
+
flatbuffers==23.3.3
|
88 |
+
flax==0.6.9
|
89 |
+
folium==0.14.0
|
90 |
+
fonttools==4.39.3
|
91 |
+
frozendict==2.3.7
|
92 |
+
fsspec==2023.4.0
|
93 |
+
future==0.18.3
|
94 |
+
gast==0.4.0
|
95 |
+
GDAL==3.3.2
|
96 |
+
gdown==4.6.6
|
97 |
+
gensim==4.3.1
|
98 |
+
geographiclib==2.0
|
99 |
+
geopy==2.3.0
|
100 |
+
gin-config==0.5.0
|
101 |
+
gitdb==4.0.10
|
102 |
+
GitPython==3.1.31
|
103 |
+
glob2==0.7
|
104 |
+
google==2.0.3
|
105 |
+
google-api-core==2.11.0
|
106 |
+
google-api-python-client==2.84.0
|
107 |
+
google-auth==2.17.3
|
108 |
+
google-auth-httplib2==0.1.0
|
109 |
+
google-auth-oauthlib==1.0.0
|
110 |
+
google-cloud-bigquery==3.9.0
|
111 |
+
google-cloud-bigquery-storage==2.19.1
|
112 |
+
google-cloud-core==2.3.2
|
113 |
+
google-cloud-datastore==2.15.1
|
114 |
+
google-cloud-firestore==2.11.0
|
115 |
+
google-cloud-language==2.9.1
|
116 |
+
google-cloud-storage==2.8.0
|
117 |
+
google-cloud-translate==3.11.1
|
118 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=2cffc3ec301c908b14db672a79c4512e64a63a541c42b43c5b9f4a2e184be439
|
119 |
+
google-crc32c==1.5.0
|
120 |
+
google-pasta==0.2.0
|
121 |
+
google-resumable-media==2.5.0
|
122 |
+
googleapis-common-protos==1.59.0
|
123 |
+
googledrivedownloader==0.4
|
124 |
+
graphviz==0.20.1
|
125 |
+
greenlet==2.0.2
|
126 |
+
grpcio==1.54.0
|
127 |
+
grpcio-status==1.48.2
|
128 |
+
gspread==3.4.2
|
129 |
+
gspread-dataframe==3.0.8
|
130 |
+
gym==0.25.2
|
131 |
+
gym-notices==0.0.8
|
132 |
+
h5netcdf==1.1.0
|
133 |
+
h5py==3.8.0
|
134 |
+
hijri-converter==2.3.1
|
135 |
+
holidays==0.23
|
136 |
+
holoviews==1.15.4
|
137 |
+
html5lib==1.1
|
138 |
+
httpimport==1.3.0
|
139 |
+
httplib2==0.21.0
|
140 |
+
humanize==4.6.0
|
141 |
+
hyperopt==0.2.7
|
142 |
+
idna==3.4
|
143 |
+
imageio==2.25.1
|
144 |
+
imageio-ffmpeg==0.4.8
|
145 |
+
imagesize==1.4.1
|
146 |
+
imbalanced-learn==0.10.1
|
147 |
+
imgaug==0.4.0
|
148 |
+
importlib-metadata==6.6.0
|
149 |
+
importlib-resources==5.12.0
|
150 |
+
imutils==0.5.4
|
151 |
+
inflect==6.0.4
|
152 |
+
iniconfig==2.0.0
|
153 |
+
intel-openmp==2023.1.0
|
154 |
+
ipykernel==5.5.6
|
155 |
+
ipython==7.34.0
|
156 |
+
ipython-genutils==0.2.0
|
157 |
+
ipython-sql==0.4.1
|
158 |
+
ipywidgets==7.7.1
|
159 |
+
itsdangerous==2.1.2
|
160 |
+
jax==0.4.8
|
161 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.7+cuda11.cudnn86-cp310-cp310-manylinux2014_x86_64.whl#sha256=d8e211ffbd51c1c399b3d78d19c22d8f1d66a0b1b2f96408801069fa1999c17c
|
162 |
+
jieba==0.42.1
|
163 |
+
Jinja2==3.1.2
|
164 |
+
joblib==1.2.0
|
165 |
+
jsonpickle==3.0.1
|
166 |
+
jsonschema==4.3.3
|
167 |
+
jupyter-client==6.1.12
|
168 |
+
jupyter-console==6.1.0
|
169 |
+
jupyter-server==1.24.0
|
170 |
+
jupyter_core==5.3.0
|
171 |
+
jupyterlab-pygments==0.2.2
|
172 |
+
jupyterlab-widgets==3.0.7
|
173 |
+
kaggle==1.5.13
|
174 |
+
keras==2.12.0
|
175 |
+
kiwisolver==1.4.4
|
176 |
+
korean-lunar-calendar==0.3.1
|
177 |
+
langcodes==3.3.0
|
178 |
+
lazy_loader==0.2
|
179 |
+
libclang==16.0.0
|
180 |
+
librosa==0.10.0.post2
|
181 |
+
lightgbm==3.3.5
|
182 |
+
lit==16.0.3
|
183 |
+
llvmlite==0.39.1
|
184 |
+
locket==1.0.0
|
185 |
+
logical-unification==0.4.5
|
186 |
+
LunarCalendar==0.0.9
|
187 |
+
lxml==4.9.2
|
188 |
+
Markdown==3.4.3
|
189 |
+
markdown-it-py==2.2.0
|
190 |
+
MarkupSafe==2.1.2
|
191 |
+
matplotlib==3.7.1
|
192 |
+
matplotlib-inline==0.1.6
|
193 |
+
matplotlib-venn==0.11.9
|
194 |
+
mdurl==0.1.2
|
195 |
+
miniKanren==1.0.3
|
196 |
+
missingno==0.5.2
|
197 |
+
mistune==0.8.4
|
198 |
+
mizani==0.8.1
|
199 |
+
mkl==2019.0
|
200 |
+
ml-dtypes==0.1.0
|
201 |
+
mlxtend==0.14.0
|
202 |
+
more-itertools==9.1.0
|
203 |
+
moviepy==1.0.3
|
204 |
+
mpmath==1.3.0
|
205 |
+
msgpack==1.0.5
|
206 |
+
multipledispatch==0.6.0
|
207 |
+
multitasking==0.0.11
|
208 |
+
murmurhash==1.0.9
|
209 |
+
music21==8.1.0
|
210 |
+
natsort==8.3.1
|
211 |
+
nbclient==0.7.4
|
212 |
+
nbconvert==6.5.4
|
213 |
+
nbformat==5.8.0
|
214 |
+
nest-asyncio==1.5.6
|
215 |
+
networkx==3.1
|
216 |
+
nibabel==3.0.2
|
217 |
+
nltk==3.8.1
|
218 |
+
notebook==6.4.8
|
219 |
+
numba==0.56.4
|
220 |
+
numexpr==2.8.4
|
221 |
+
numpy==1.22.4
|
222 |
+
oauth2client==4.1.3
|
223 |
+
oauthlib==3.2.2
|
224 |
+
opencv-contrib-python==4.7.0.72
|
225 |
+
opencv-python==4.7.0.72
|
226 |
+
opencv-python-headless==4.7.0.72
|
227 |
+
openpyxl==3.0.10
|
228 |
+
opt-einsum==3.3.0
|
229 |
+
optax==0.1.5
|
230 |
+
orbax-checkpoint==0.2.1
|
231 |
+
osqp==0.6.2.post8
|
232 |
+
packaging==23.1
|
233 |
+
palettable==3.3.3
|
234 |
+
pandas==1.5.3
|
235 |
+
pandas-datareader==0.10.0
|
236 |
+
pandas-gbq==0.17.9
|
237 |
+
pandocfilters==1.5.0
|
238 |
+
panel==0.14.4
|
239 |
+
param==1.13.0
|
240 |
+
parso==0.8.3
|
241 |
+
partd==1.4.0
|
242 |
+
pathlib==1.0.1
|
243 |
+
pathy==0.10.1
|
244 |
+
patsy==0.5.3
|
245 |
+
pexpect==4.8.0
|
246 |
+
pickleshare==0.7.5
|
247 |
+
Pillow==8.4.0
|
248 |
+
pip-tools==6.13.0
|
249 |
+
platformdirs==3.3.0
|
250 |
+
plotly==5.13.1
|
251 |
+
plotnine==0.10.1
|
252 |
+
pluggy==1.0.0
|
253 |
+
polars==0.17.3
|
254 |
+
pooch==1.6.0
|
255 |
+
portpicker==1.3.9
|
256 |
+
prefetch-generator==1.0.3
|
257 |
+
preshed==3.0.8
|
258 |
+
prettytable==0.7.2
|
259 |
+
proglog==0.1.10
|
260 |
+
progressbar2==4.2.0
|
261 |
+
prometheus-client==0.16.0
|
262 |
+
promise==2.3
|
263 |
+
prompt-toolkit==3.0.38
|
264 |
+
prophet==1.1.2
|
265 |
+
proto-plus==1.22.2
|
266 |
+
protobuf==3.20.3
|
267 |
+
psutil==5.9.5
|
268 |
+
psycopg2==2.9.6
|
269 |
+
ptyprocess==0.7.0
|
270 |
+
py-cpuinfo==9.0.0
|
271 |
+
py4j==0.10.9.7
|
272 |
+
pyarrow==9.0.0
|
273 |
+
pyasn1==0.5.0
|
274 |
+
pyasn1-modules==0.3.0
|
275 |
+
pycocotools==2.0.6
|
276 |
+
pycparser==2.21
|
277 |
+
pyct==0.5.0
|
278 |
+
pydantic==1.10.7
|
279 |
+
pydata-google-auth==1.7.0
|
280 |
+
pydeck==0.8.1b0
|
281 |
+
pydot==1.4.2
|
282 |
+
pydot-ng==2.0.0
|
283 |
+
pydotplus==2.0.2
|
284 |
+
PyDrive==1.3.1
|
285 |
+
pyerfa==2.0.0.3
|
286 |
+
pygame==2.3.0
|
287 |
+
Pygments==2.14.0
|
288 |
+
PyGObject==3.36.0
|
289 |
+
pymc==5.1.2
|
290 |
+
PyMeeus==0.5.12
|
291 |
+
Pympler==1.0.1
|
292 |
+
pymystem3==0.2.0
|
293 |
+
PyOpenGL==3.1.6
|
294 |
+
pyparsing==3.0.9
|
295 |
+
pyproject_hooks==1.0.0
|
296 |
+
pyrsistent==0.19.3
|
297 |
+
PySocks==1.7.1
|
298 |
+
pytensor==2.10.1
|
299 |
+
pytest==7.2.2
|
300 |
+
python-apt==0.0.0
|
301 |
+
python-dateutil==2.8.2
|
302 |
+
python-louvain==0.16
|
303 |
+
python-slugify==8.0.1
|
304 |
+
python-utils==3.5.2
|
305 |
+
pytz==2022.7.1
|
306 |
+
pytz-deprecation-shim==0.1.0.post0
|
307 |
+
pyviz-comms==2.2.1
|
308 |
+
PyWavelets==1.4.1
|
309 |
+
PyYAML==6.0
|
310 |
+
pyzmq==23.2.1
|
311 |
+
qdldl==0.1.7
|
312 |
+
qudida==0.0.4
|
313 |
+
regex==2022.10.31
|
314 |
+
requests==2.27.1
|
315 |
+
requests-oauthlib==1.3.1
|
316 |
+
requests-unixsocket==0.2.0
|
317 |
+
requirements-parser==0.5.0
|
318 |
+
rich==13.3.4
|
319 |
+
rpy2==3.5.5
|
320 |
+
rsa==4.9
|
321 |
+
scikit-image==0.19.3
|
322 |
+
scikit-learn==1.2.2
|
323 |
+
scipy==1.10.1
|
324 |
+
scs==3.2.3
|
325 |
+
seaborn==0.12.2
|
326 |
+
Send2Trash==1.8.0
|
327 |
+
shapely==2.0.1
|
328 |
+
six==1.16.0
|
329 |
+
sklearn-pandas==2.2.0
|
330 |
+
smart-open==6.3.0
|
331 |
+
smmap==5.0.0
|
332 |
+
sniffio==1.3.0
|
333 |
+
snowballstemmer==2.2.0
|
334 |
+
sortedcontainers==2.4.0
|
335 |
+
soundfile==0.12.1
|
336 |
+
soupsieve==2.4.1
|
337 |
+
soxr==0.3.5
|
338 |
+
spacy==3.5.2
|
339 |
+
spacy-legacy==3.0.12
|
340 |
+
spacy-loggers==1.0.4
|
341 |
+
Sphinx==3.5.4
|
342 |
+
sphinxcontrib-applehelp==1.0.4
|
343 |
+
sphinxcontrib-devhelp==1.0.2
|
344 |
+
sphinxcontrib-htmlhelp==2.0.1
|
345 |
+
sphinxcontrib-jsmath==1.0.1
|
346 |
+
sphinxcontrib-qthelp==1.0.3
|
347 |
+
sphinxcontrib-serializinghtml==1.1.5
|
348 |
+
SQLAlchemy==2.0.10
|
349 |
+
sqlparse==0.4.4
|
350 |
+
srsly==2.4.6
|
351 |
+
statsmodels==0.13.5
|
352 |
+
streamlit==1.22.0
|
353 |
+
streamlit-drawable-canvas==0.9.2
|
354 |
+
sympy==1.11.1
|
355 |
+
tables==3.8.0
|
356 |
+
tabulate==0.8.10
|
357 |
+
tblib==1.7.0
|
358 |
+
tenacity==8.2.2
|
359 |
+
tensorboard==2.12.2
|
360 |
+
tensorboard-data-server==0.7.0
|
361 |
+
tensorboard-plugin-wit==1.8.1
|
362 |
+
tensorflow==2.12.0
|
363 |
+
tensorflow-datasets==4.9.2
|
364 |
+
tensorflow-estimator==2.12.0
|
365 |
+
tensorflow-gcs-config==2.12.0
|
366 |
+
tensorflow-hub==0.13.0
|
367 |
+
tensorflow-io-gcs-filesystem==0.32.0
|
368 |
+
tensorflow-metadata==1.13.1
|
369 |
+
tensorflow-probability==0.19.0
|
370 |
+
tensorstore==0.1.36
|
371 |
+
termcolor==2.3.0
|
372 |
+
terminado==0.17.1
|
373 |
+
text-unidecode==1.3
|
374 |
+
textblob==0.17.1
|
375 |
+
tf-slim==1.1.0
|
376 |
+
thinc==8.1.9
|
377 |
+
threadpoolctl==3.1.0
|
378 |
+
tifffile==2023.4.12
|
379 |
+
tinycss2==1.2.1
|
380 |
+
toml==0.10.2
|
381 |
+
tomli==2.0.1
|
382 |
+
toolz==0.12.0
|
383 |
+
torch @ https://download.pytorch.org/whl/cu118/torch-2.0.0%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=4b690e2b77f21073500c65d8bb9ea9656b8cb4e969f357370bbc992a3b074764
|
384 |
+
torchaudio @ https://download.pytorch.org/whl/cu118/torchaudio-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=19c4ef9012324c4fb80ea66934551b7807d97148c28538e2eabafe16ab50e91c
|
385 |
+
torchdata==0.6.0
|
386 |
+
torchsummary==1.5.1
|
387 |
+
torchtext==0.15.1
|
388 |
+
torchvision @ https://download.pytorch.org/whl/cu118/torchvision-0.15.1%2Bcu118-cp310-cp310-linux_x86_64.whl#sha256=9a679fa37a741018c804234693bbac3d487fb3dd55ee73f6b33677b177c8c07a
|
389 |
+
tornado==6.3.1
|
390 |
+
tqdm==4.65.0
|
391 |
+
traitlets==5.7.1
|
392 |
+
triton==2.0.0
|
393 |
+
tweepy==4.13.0
|
394 |
+
typer==0.7.0
|
395 |
+
types-setuptools==67.7.0.2
|
396 |
+
typing_extensions==4.5.0
|
397 |
+
tzdata==2023.3
|
398 |
+
tzlocal==4.3
|
399 |
+
uritemplate==4.1.1
|
400 |
+
urllib3==1.26.15
|
401 |
+
validators==0.20.0
|
402 |
+
vega-datasets==0.9.0
|
403 |
+
wasabi==1.1.1
|
404 |
+
watchdog==3.0.0
|
405 |
+
wcwidth==0.2.6
|
406 |
+
webcolors==1.13
|
407 |
+
webencodings==0.5.1
|
408 |
+
websocket-client==1.5.1
|
409 |
+
Werkzeug==2.3.0
|
410 |
+
widgetsnbextension==3.6.4
|
411 |
+
wordcloud==1.8.2.2
|
412 |
+
wrapt==1.14.1
|
413 |
+
xarray==2022.12.0
|
414 |
+
xarray-einstats==0.5.1
|
415 |
+
xgboost==1.7.5
|
416 |
+
xlrd==2.0.1
|
417 |
+
yellowbrick==1.5
|
418 |
+
yfinance==0.2.18
|
419 |
+
zict==3.0.0
|
420 |
+
zipp==3.15.0
|