nguyen-brat
commited on
Commit
·
a8ab437
1
Parent(s):
35ca994
update
Browse files
app.py
CHANGED
@@ -5,13 +5,27 @@ import subprocess
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import zipfile
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import io
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import shutil
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import time
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import sys
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from PIL import Image
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import tempfile
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os.environ["HYDRA_FULL_ERROR"] = "1"
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def run_bash_script(input_image_path, output_path, progress_placeholder, status_text):
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bash_command = f"bash config/text_detection.sh -s {input_image_path} -t {output_path}"
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process = subprocess.Popen(bash_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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@@ -22,6 +36,7 @@ def run_bash_script(input_image_path, output_path, progress_placeholder, status_
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progress += 0.1
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progress_placeholder.progress(min(progress, 1.0))
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stderr_output = process.stderr.read()
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if stderr_output:
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status_text.error("Error output:")
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@@ -43,6 +58,17 @@ def zip_result_files(result_folder):
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return zip_buffer
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def create_temp_structure():
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# Create a temporary directory
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temp_dir = tempfile.mkdtemp()
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@@ -59,83 +85,67 @@ def create_temp_structure():
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return temp_dir, test_folder, target_folder
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def clear_temp_folder(temp_dir):
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if temp_dir and os.path.exists(temp_dir):
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shutil.rmtree(temp_dir, ignore_errors=True)
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st.success("Temporary files have been cleared.")
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st.title("Text Detection App")
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#
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if 'temp_dir' not in st.session_state:
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st.session_state.temp_dir = None
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uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
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# Create a temporary directory for processing
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input_path = st.session_state.input_path
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output_path = st.session_state.output_path
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st.write(f"Temp dir: {temp_dir}")
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input_file_path = os.path.join(input_path, uploaded_file.name)
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image = Image.open(uploaded_file)
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image.save(input_file_path)
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progress_placeholder = st.empty()
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status_text = st.empty()
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try:
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status_text.text("Running text detection...")
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rc, stderr_output = run_bash_script(input_path, output_path, progress_placeholder, status_text)
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if rc == 0:
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status_text.text("Text detection completed successfully!")
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result_folder = os.path.join(output_path, "result")
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if os.path.exists(result_folder):
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st.write("You can now download the results.")
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# Add download button
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zip_buffer = zip_result_files(result_folder)
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st.download_button(
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label="Download Results",
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data=zip_buffer.getvalue(),
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file_name="text_detection_results.zip",
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mime="application/zip",
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on_click=lambda: clear_temp_folder(st.session_state.temp_dir)
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)
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else:
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st.error("Result folder not found. The text detection might have failed.")
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else:
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st.error(f"Text detection failed with return code {rc}")
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if stderr_output:
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st.error("Error details:")
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st.code(stderr_output, language="bash")
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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finally:
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progress_placeholder.empty()
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status_text.empty()
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st.write("Note: The download button will appear after running text detection.")
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import zipfile
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import io
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import shutil
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import sys
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from PIL import Image
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import tempfile
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os.environ["HYDRA_FULL_ERROR"] = "1"
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def GET_PROJECT_ROOT():
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count = 0
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# goto the root folder of LogBar
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current_abspath = os.path.abspath(__file__)
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while True:
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if count > 1000:
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print("Can find root error")
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sys.exit()
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if os.path.split(current_abspath)[1] == 'text-remove':
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project_root = current_abspath
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break
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else:
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current_abspath = os.path.dirname(current_abspath)
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return project_root
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def run_bash_script(input_image_path, output_path, progress_placeholder, status_text):
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bash_command = f"bash config/text_detection.sh -s {input_image_path} -t {output_path}"
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process = subprocess.Popen(bash_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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progress += 0.1
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progress_placeholder.progress(min(progress, 1.0))
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# Capture and display stderr
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stderr_output = process.stderr.read()
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if stderr_output:
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status_text.error("Error output:")
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return zip_buffer
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def clear_folder(folder_path):
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for filename in os.listdir(folder_path):
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file_path = os.path.join(folder_path, filename)
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try:
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if os.path.isfile(file_path) or os.path.islink(file_path):
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os.unlink(file_path) # Remove file or symlink
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elif os.path.isdir(file_path):
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shutil.rmtree(file_path, ignore_errors=True) # Remove directory and its contents
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except Exception as e:
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print(f'Failed to delete {file_path}. Reason: {e}')
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def create_temp_structure():
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# Create a temporary directory
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temp_dir = tempfile.mkdtemp()
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return temp_dir, test_folder, target_folder
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st.title("Text Detection App")
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# file_name = " || ".join(os.listdir('craft_pytorch'))
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# st.write(file_name)
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uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
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if uploaded_file is not None:
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st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
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# Create a temporary directory for processing
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# Save the uploaded file temporarily
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temp_dir, input_path, output_path = create_temp_structure()
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# st.write(f"Temp dir: {temp_dir}")
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# os.makedirs(input_path, exist_ok=True)
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# os.makedirs(osp(output_path, "result"), exist_ok=True)
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# os.makedirs(osp(output_path, "mask"), exist_ok=True)
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input_file_path = os.path.join(input_path, uploaded_file.name)
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image = Image.open(uploaded_file)
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# image.save(os.path.join(PROJECT_ROOT, input_file_path))
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image.save(input_file_path)
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# file_name = " || ".join(os.listdir(f'{temp_dir}/target_folder'))
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# st.write(file_name)
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progress_placeholder = st.empty()
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status_text = st.empty()
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status_text.text("Running text detection...")
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st.write(f'the input file path {input_path}')
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st.write(f'the output file path {output_path}')
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#os.makedirs(input_path, exist_ok=True)
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#os.makedirs(osp(output_path, "result"), exist_ok=True)
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#os.makedirs(osp(output_path, "mask"), exist_ok=True)
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rc, stderr_output = run_bash_script(input_path, output_path, progress_placeholder, status_text)
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mask_file_name = " || ".join(os.listdir('{temp_dir}/target_folder/mask'))
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bbox_file_name = " || ".join(os.listdir('{temp_dir}/target_folder/bbox'))
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result_file_name = " || ".join(os.listdir('{temp_dir}/target_folder/bbox'))
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print(f'mask_file_name: {mask_file_name}')
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print(f'bbox_file_name: {bbox_file_name}')
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print(f'result_file_name: {result_file_name}')
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if rc == 0:
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st.write("Text detection completed successfully!")
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status_text.text("Text detection completed successfully!")
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result_folder = os.path.join(output_path, "result")
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if os.path.exists(result_folder):
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st.write("You can now download the results.")
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# Add download button
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zip_buffer = zip_result_files(result_folder)
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st.download_button(
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label="Download Results",
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data=zip_buffer.getvalue(),
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file_name="text_detection_results.zip",
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mime="application/zip"
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)
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else:
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st.error("Result folder not found. The text detection might have failed.")
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else:
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st.error(f"Text detection failed with return code {rc}")
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if stderr_output:
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st.error("Error details:")
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st.code(stderr_output, language="bash")
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st.write("Note: The download button will appear after running text detection.")
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