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Runtime error
Runtime error
liuyizhang
commited on
Commit
β’
2a71ebd
1
Parent(s):
5c28041
add time cost by step (ms)
Browse files- app.py +40 -12
- kosmos_utils.py +1 -1
- requirements.txt +1 -1
app.py
CHANGED
@@ -519,24 +519,42 @@ def relate_anything(input_image, k):
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mask_source_draw = "draw a mask on input image"
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mask_source_segment = "type what to detect below"
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def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_threshold, text_threshold,
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iou_threshold, inpaint_mode, mask_source_radio, remove_mode, remove_mask_extend, num_relation, kosmos_input, cleaner_size_limit=1080):
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if (task_type == 'Kosmos-2'):
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global kosmos_model, kosmos_processor
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kosmos_image, kosmos_text, kosmos_entities = kosmos_generate_predictions(input_image, kosmos_input, kosmos_model, kosmos_processor)
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-
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if (task_type == 'relate anything'):
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output_images = relate_anything(input_image['image'], num_relation)
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-
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text_prompt = text_prompt.strip()
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if not ((task_type == 'inpainting' or task_type == 'remove') and mask_source_radio == mask_source_draw):
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if text_prompt == '':
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-
return [], gr.Gallery.update(label='Detection prompt is not found!ππππ'), None, None, None
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if input_image is None:
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-
return [], gr.Gallery.update(label='Please upload a image!ππππ'), None, None, None
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file_temp = int(time.time())
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logger.info(f'run_anything_task_002/{device}_[{file_temp}]_{task_type}/{inpaint_mode}/[{mask_source_radio}]/{remove_mode}/{remove_mask_extend}_[{text_prompt}]/[{inpaint_prompt}]___1_')
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@@ -552,10 +570,12 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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image_pil, image = load_image(input_image['image'].convert("RGB"))
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input_img = input_image['image']
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output_images.append(input_image['image'])
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else:
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image_pil, image = load_image(input_image.convert("RGB"))
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input_img = input_image
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output_images.append(input_image)
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size = image_pil.size
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@@ -576,7 +596,7 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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)
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if boxes_filt.size(0) == 0:
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_[{text_prompt}]_1___{groundingdino_device}/[No objects detected, please try others.]_')
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return [], gr.Gallery.update(label='No objects detected, please try others.ππππ'), None, None, None
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boxes_filt_ori = copy.deepcopy(boxes_filt)
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pred_dict = {
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@@ -587,6 +607,7 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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image_with_box = plot_boxes_to_image(copy.deepcopy(image_pil), pred_dict)[0]
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output_images.append(image_with_box)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_2_')
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if task_type == 'segment' or ((task_type == 'inpainting' or task_type == 'remove') and mask_source_radio == mask_source_segment):
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@@ -622,12 +643,13 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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plt.savefig(image_path, bbox_inches="tight")
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segment_image_result = cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB)
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os.remove(image_path)
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output_images.append(segment_image_result)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_3_')
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if task_type == 'detection' or task_type == 'segment':
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_9_')
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return output_images, gr.Gallery.update(label='result images'), None, None, None
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elif task_type == 'inpainting' or task_type == 'remove':
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if inpaint_prompt.strip() == '' and mask_source_radio == mask_source_segment:
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task_type = 'remove'
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@@ -644,6 +666,7 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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mask = masks[0][0].cpu().numpy()
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mask_pil = Image.fromarray(mask)
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output_images.append(mask_pil.convert("RGB"))
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if task_type == 'inpainting':
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# inpainting pipeline
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@@ -682,21 +705,24 @@ def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_t
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extend_pixels=remove_mask_extend, useRectangle=useRectangle)
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mask_imgs.append(mask_pil_exp)
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mask_pil = mix_masks(mask_imgs)
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output_images.append(mask_pil.convert("RGB"))
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_6_')
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image_inpainting = lama_cleaner_process(np.array(image_pil), np.array(mask_pil.convert("L")), cleaner_size_limit)
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# output_images.append(image_inpainting)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_7_')
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image_inpainting = image_inpainting.resize((image_pil.size[0], image_pil.size[1]))
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output_images.append(image_inpainting)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_9_')
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return output_images, gr.Gallery.update(label='result images'), None, None, None
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else:
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logger.info(f"task_type:{task_type} error!")
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logger.info(f'run_anything_task_[{file_temp}]_9_9_')
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return output_images, gr.Gallery.update(label='result images'), None, None, None
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def change_radio_display(task_type, mask_source_radio):
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text_prompt_visible = True
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@@ -828,7 +854,9 @@ if __name__ == "__main__":
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with gr.Column():
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image_gallery = gr.Gallery(label="result images", show_label=True, elem_id="gallery", visible=True
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).style(preview=True, columns=[5], object_fit="scale-down", height="auto")
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kosmos_output = gr.Image(type="pil", label="result images", visible=False)
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kosmos_text_output = gr.HighlightedText(
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label="Generated Description",
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@@ -860,7 +888,7 @@ if __name__ == "__main__":
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run_button.click(fn=run_anything_task, inputs=[
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input_image, text_prompt, task_type, inpaint_prompt, box_threshold, text_threshold,
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iou_threshold, inpaint_mode, mask_source_radio, remove_mode, remove_mask_extend, num_relation, kosmos_input],
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outputs=[image_gallery, image_gallery, kosmos_output, kosmos_text_output, entity_output], show_progress=True, queue=True)
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mask_source_radio.change(fn=change_radio_display, inputs=[task_type, mask_source_radio],
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outputs=[text_prompt, inpaint_prompt, mask_source_radio, num_relation])
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mask_source_draw = "draw a mask on input image"
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mask_source_segment = "type what to detect below"
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+
def get_time_cost(run_task_time, time_cost_str):
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now_time = int(time.time()*1000)
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if run_task_time == 0:
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time_cost_str = 'start'
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else:
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if time_cost_str != '':
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time_cost_str += f'-->'
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time_cost_str += f'{now_time - run_task_time}'
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run_task_time = now_time
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return run_task_time, time_cost_str
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def run_anything_task(input_image, text_prompt, task_type, inpaint_prompt, box_threshold, text_threshold,
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iou_threshold, inpaint_mode, mask_source_radio, remove_mode, remove_mask_extend, num_relation, kosmos_input, cleaner_size_limit=1080):
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run_task_time = 0
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time_cost_str = ''
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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if (task_type == 'Kosmos-2'):
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global kosmos_model, kosmos_processor
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kosmos_image, kosmos_text, kosmos_entities = kosmos_generate_predictions(input_image, kosmos_input, kosmos_model, kosmos_processor)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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return None, None, time_cost_str, kosmos_image, gr.Textbox.update(visible=(time_cost_str !='')), kosmos_text, kosmos_entities
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if (task_type == 'relate anything'):
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output_images = relate_anything(input_image['image'], num_relation)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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return output_images, gr.Gallery.update(label='relate images'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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text_prompt = text_prompt.strip()
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if not ((task_type == 'inpainting' or task_type == 'remove') and mask_source_radio == mask_source_draw):
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if text_prompt == '':
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return [], gr.Gallery.update(label='Detection prompt is not found!ππππ'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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if input_image is None:
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return [], gr.Gallery.update(label='Please upload a image!ππππ'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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file_temp = int(time.time())
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logger.info(f'run_anything_task_002/{device}_[{file_temp}]_{task_type}/{inpaint_mode}/[{mask_source_radio}]/{remove_mode}/{remove_mask_extend}_[{text_prompt}]/[{inpaint_prompt}]___1_')
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image_pil, image = load_image(input_image['image'].convert("RGB"))
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input_img = input_image['image']
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output_images.append(input_image['image'])
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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else:
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image_pil, image = load_image(input_image.convert("RGB"))
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input_img = input_image
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output_images.append(input_image)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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size = image_pil.size
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)
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if boxes_filt.size(0) == 0:
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_[{text_prompt}]_1___{groundingdino_device}/[No objects detected, please try others.]_')
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return [], gr.Gallery.update(label='No objects detected, please try others.ππππ'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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boxes_filt_ori = copy.deepcopy(boxes_filt)
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pred_dict = {
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image_with_box = plot_boxes_to_image(copy.deepcopy(image_pil), pred_dict)[0]
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output_images.append(image_with_box)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_2_')
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if task_type == 'segment' or ((task_type == 'inpainting' or task_type == 'remove') and mask_source_radio == mask_source_segment):
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plt.savefig(image_path, bbox_inches="tight")
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segment_image_result = cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB)
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os.remove(image_path)
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output_images.append(segment_image_result)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_3_')
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if task_type == 'detection' or task_type == 'segment':
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_9_')
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return output_images, gr.Gallery.update(label='result images'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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elif task_type == 'inpainting' or task_type == 'remove':
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if inpaint_prompt.strip() == '' and mask_source_radio == mask_source_segment:
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task_type = 'remove'
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mask = masks[0][0].cpu().numpy()
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mask_pil = Image.fromarray(mask)
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output_images.append(mask_pil.convert("RGB"))
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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if task_type == 'inpainting':
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# inpainting pipeline
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extend_pixels=remove_mask_extend, useRectangle=useRectangle)
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mask_imgs.append(mask_pil_exp)
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mask_pil = mix_masks(mask_imgs)
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output_images.append(mask_pil.convert("RGB"))
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_6_')
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image_inpainting = lama_cleaner_process(np.array(image_pil), np.array(mask_pil.convert("L")), cleaner_size_limit)
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# output_images.append(image_inpainting)
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# run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_7_')
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image_inpainting = image_inpainting.resize((image_pil.size[0], image_pil.size[1]))
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output_images.append(image_inpainting)
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run_task_time, time_cost_str = get_time_cost(run_task_time, time_cost_str)
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logger.info(f'run_anything_task_[{file_temp}]_{task_type}_9_')
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return output_images, gr.Gallery.update(label='result images'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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else:
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logger.info(f"task_type:{task_type} error!")
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logger.info(f'run_anything_task_[{file_temp}]_9_9_')
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return output_images, gr.Gallery.update(label='result images'), time_cost_str, gr.Textbox.update(visible=(time_cost_str !='')), None, None, None
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def change_radio_display(task_type, mask_source_radio):
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text_prompt_visible = True
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with gr.Column():
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image_gallery = gr.Gallery(label="result images", show_label=True, elem_id="gallery", visible=True
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).style(preview=True, columns=[5], object_fit="scale-down", height="auto")
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time_cost = gr.Textbox(label="Time cost by step (ms):", visible=False, interactive=False)
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kosmos_output = gr.Image(type="pil", label="result images", visible=False)
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kosmos_text_output = gr.HighlightedText(
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label="Generated Description",
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run_button.click(fn=run_anything_task, inputs=[
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input_image, text_prompt, task_type, inpaint_prompt, box_threshold, text_threshold,
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iou_threshold, inpaint_mode, mask_source_radio, remove_mode, remove_mask_extend, num_relation, kosmos_input],
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outputs=[image_gallery, image_gallery, time_cost, time_cost, kosmos_output, kosmos_text_output, entity_output], show_progress=True, queue=True)
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mask_source_radio.change(fn=change_radio_display, inputs=[task_type, mask_source_radio],
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outputs=[text_prompt, inpaint_prompt, mask_source_radio, num_relation])
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kosmos_utils.py
CHANGED
@@ -230,4 +230,4 @@ def kosmos_generate_predictions(image_input, text_input, kosmos_model, kosmos_pr
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if end < len(processed_text):
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colored_text.append((processed_text[end:len(processed_text)], None))
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-
return annotated_image, colored_text, str(filtered_entities)
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if end < len(processed_text):
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colored_text.append((processed_text[end:len(processed_text)], None))
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return annotated_image, colored_text, str(filtered_entities)
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requirements.txt
CHANGED
@@ -17,7 +17,7 @@ termcolor
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timm
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torch
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torchvision
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-
transformers
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yapf
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numba
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scipy
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timm
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torch
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torchvision
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transformers==4.27.4
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yapf
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numba
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scipy
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