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from pathlib import Path
from io import BytesIO
import gradio as gr
import jsonlines
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
from PIL import Image
CURRENT_DIR = Path(__file__).parent
LIST_FILE = "demo.jsonl"
STATES_ROOT = Path("states/")
REPEAT = 1
MAX_IMAGES_ROW = 6
TITLE = "VTT Demo"
START_TEXT = "Start"
PREV_TEXT = "Prev"
NEXT_TEXT = "Next"
CATEGORY_TEXT = "Category"
TOPIC_TEXT = "Topic"
TRANSFORMATIONS_TEXT = "Transformation Descriptions"
with jsonlines.open(LIST_FILE) as reader:
samples = list(reader)
samples_dict = {sample["id"]: sample for sample in samples}
def get_sample(annotation_id):
validate_annotation_id(annotation_id)
id = samples[annotation_id]["id"]
sample = samples_dict[id]
return sample
def get_texts(annotation_id):
annotation_id = validate_annotation_id(annotation_id)
sample = samples[annotation_id]
texts = [x['label'] for x in sample["annotation"]]
return texts
def get_transformations(annotation_id):
texts = get_texts(annotation_id)
return ", ".join([f"{i} -> {i+1}: {text}" for i, text in enumerate(texts)])
def show_figures(path_list, title=None, labels=None, show_indices=True):
from textwrap import wrap
n_img = len(path_list)
width, height = plt.figaspect(1)
plt.rcParams["savefig.bbox"] = "tight"
plt.rcParams["axes.linewidth"] = 0
plt.rcParams["axes.titlepad"] = 6
plt.rcParams["axes.titlesize"] = 12
plt.rcParams["font.family"] = "Helvetica"
plt.rcParams["axes.labelweight"] = "normal"
plt.rcParams["font.size"] = 12
plt.rcParams["figure.dpi"] = 100
plt.rcParams["savefig.dpi"] = 100
plt.rcParams["figure.titlesize"] = 18
# subplot(r,c) provide the no. of rows and columns
if n_img > MAX_IMAGES_ROW:
width = width / 2
height = height / 2
n_image_row = min(n_img, MAX_IMAGES_ROW)
n_row = (n_img - 1) // n_image_row + 1
fig, axarr = plt.subplots(
n_row, n_image_row, figsize=(width * n_image_row, height * n_row)
)
# use the created array to output your multiple images. In this case I have stacked 4 images vertically
for i in range(n_row * n_image_row):
# axarr[i].axis("off")
if n_row == 1:
ax = axarr[i]
else:
ax = axarr[i // n_image_row][i % n_image_row]
if i < len(path_list) and path_list[i].exists():
ax.imshow(mpimg.imread(path_list[i]))
if show_indices:
ax.set_title(f"{i}")
if labels is not None and labels[i]:
ax.set_xlabel(
"\n".join(wrap(f"{i-1}-{i}: {labels[i]}", width=width * 10))
)
ax.set_xticks([])
ax.set_yticks([])
plt.tight_layout()
def show_sample(sample, texts):
n_states = len(sample["annotation"]) + 1
state_path_list = [
STATES_ROOT / f"{sample['id']}_{n_states}_{i}.jpg"
for i in range(n_states)
]
show_figures(
state_path_list,
labels=[""] + texts,
)
def get_image(annotation_id):
sample = get_sample(annotation_id)
buf = BytesIO()
show_sample(sample, get_texts(annotation_id))
plt.savefig(buf, format="png")
buf.seek(0)
img = Image.open(buf)
plt.close()
return img
def get_category_topic(annotation_id):
sample = get_sample(annotation_id)
return sample["category"], sample["topic"]
def validate_annotation_id(annotation_id):
annotation_id = max(0, min(int(annotation_id), len(samples) - 1))
return annotation_id
def start(annotation_id):
annotation_id = validate_annotation_id(annotation_id)
category, topic = get_category_topic(annotation_id)
image = get_image(annotation_id)
return (
category,
topic,
image,
get_transformations(annotation_id),
)
def prev_sample(annotation_id):
annotation_id = validate_annotation_id(annotation_id - 1)
category, topic = get_category_topic(annotation_id)
image = get_image(annotation_id)
return (
annotation_id,
category,
topic,
image,
get_transformations(annotation_id),
)
def next_sample(annotation_id):
annotation_id = random.randint(0, len(samples) - 1)
annotation_id = validate_annotation_id(annotation_id + 1)
category, topic = get_category_topic(annotation_id)
image = get_image(annotation_id)
return (
annotation_id,
category,
topic,
image,
get_transformations(annotation_id),
)
def main():
with gr.Blocks(title="VTT") as demo:
gr.Markdown(f"## {TITLE}")
with gr.Row():
with gr.Column():
annotation_id = gr.Number(label="Annotation ID", visible=False)
start_button = gr.Button(START_TEXT, visible=False)
with gr.Row():
prev_button = gr.Button(PREV_TEXT, visible=False)
next_button = gr.Button(NEXT_TEXT)
category = gr.Text(label=CATEGORY_TEXT)
topic = gr.Text(label=TOPIC_TEXT)
image = gr.Image()
transformations = gr.Text(label=TRANSFORMATIONS_TEXT)
start_button.click(
start,
inputs=[annotation_id],
outputs=[
category,
topic,
image,
transformations,
],
)
prev_button.click(
prev_sample,
inputs=[annotation_id],
outputs=[
annotation_id,
category,
topic,
image,
transformations,
],
)
next_button.click(
next_sample,
inputs=[annotation_id],
outputs=[
annotation_id,
category,
topic,
image,
transformations,
],
)
# Add a hidden load button
demo.load(
None,
None,
None,
js="() => { const button = Array.from(document.querySelectorAll('button')).find(btn => btn.textContent.trim() === 'Start'); if (button) {button.click();} }"
)
# demo.launch(server_name="0.0.0.0", share=True)
demo.launch(server_name="0.0.0.0")
if __name__ == "__main__":
main()
|