[BUG] Too many errors reported, unable to run #54
Description
Describe the bug
My Python version is 3.9. Since you didn't mention your version, I assumed all versions were compatible, but encountered many errors.
error 1 :
File "/usr/local/lib/python3.9/dist-packages/transformers/utils/import_utils.py", line 1510, in _get_module
return importlib.import_module("." + module_name, self.__name__)
File "/usr/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 790, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/usr/local/lib/python3.9/dist-packages/transformers/models/vit/image_processing_vit.py", line 21, in <module>
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
ImportError: cannot import name 'BaseImageProcessor' from partially initialized module 'transformers.image_processing_utils' (most likely due to a circular import) (/usr/local/lib/python3.9/dist-packages/transformers/image_processing_utils.py)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/root/recaptcha_solver_test/main.py", line 81, in <module>
asyncio.run(main())
File "/usr/lib/python3.9/asyncio/runners.py", line 44, in run
return loop.run_until_complete(main)
File "/usr/lib/python3.9/asyncio/base_events.py", line 642, in run_until_complete
return future.result()
File "/root/recaptcha_solver_test/main.py", line 78, in main
await run(playwright,"free.vps.vc","6Lf6qrMjAAAAAK3VbiN3PkzoXux6p3kEVDmBJA5p")
File "/root/recaptcha_solver_test/main.py", line 71, in run
await challenger.solve_recaptcha()
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 204, in solve_recaptcha
return await self.handle_recaptcha()
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 149, in handle_recaptcha
result_clicked = await self.detect_tiles(prompt, area_captcha)
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 83, in detect_tiles
response, coordinates = self.detector.detect(prompt, image, area_captcha=area_captcha)
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 288, in detect
detection_models.check_loaded()
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 76, in check_loaded
raise e
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 66, in check_loaded
future.result()
File "/usr/lib/python3.9/concurrent/futures/_base.py", line 433, in result
return self.__get_result()
File "/usr/lib/python3.9/concurrent/futures/_base.py", line 389, in __get_result
raise self._exception
File "/usr/lib/python3.9/concurrent/futures/thread.py", line 52, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 60, in _load_seg_processor
self.seg_processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
File "/usr/local/lib/python3.9/dist-packages/transformers/processing_utils.py", line 465, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
File "/usr/local/lib/python3.9/dist-packages/transformers/processing_utils.py", line 509, in _get_arguments_from_pretrained
attribute_class = getattr(transformers_module, class_name)
File "/usr/local/lib/python3.9/dist-packages/transformers/utils/import_utils.py", line 1501, in __getattr__
value = getattr(module, name)
File "/usr/local/lib/python3.9/dist-packages/transformers/utils/import_utils.py", line 1500, in __getattr__
module = self._get_module(self._class_to_module[name])
File "/usr/local/lib/python3.9/dist-packages/transformers/utils/import_utils.py", line 1512, in _get_module
raise RuntimeError(
RuntimeError: Failed to import transformers.models.vit.image_processing_vit because of the following error (look up to see its traceback):
cannot import name 'BaseImageProcessor' from partially initialized module 'transformers.image_processing_utils' (most likely due to a circular import) (/usr/local/lib/python3.9/dist-packages/transformers/image_processing_utils.py)error 2:
File "/root/recaptcha_solver_test/main.py", line 71, in run
await challenger.solve_recaptcha()
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 204, in solve_recaptcha
return await self.handle_recaptcha()
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 149, in handle_recaptcha
result_clicked = await self.detect_tiles(prompt, area_captcha)
File "/usr/local/lib/python3.9/dist-packages/recognizer/agents/playwright/async_control.py", line 83, in detect_tiles
response, coordinates = self.detector.detect(prompt, image, area_captcha=area_captcha)
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 342, in detect
response = self.clip_detector.detect_image(cv2_images, label)
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 237, in detect_image
return self.clipseg_detect_rd64(combined_image, task_type, len(images))
File "/usr/local/lib/python3.9/dist-packages/recognizer/components/detector.py", line 200, in clipseg_detect_rd64
inputs = detection_models.seg_processor(text=segment_label, images=[image], return_tensors="pt")
AttributeError: 'DetectionModels' object has no attribute 'seg_processor'error 3:
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using `tokenizers` before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using `tokenizers` before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using `tokenizers` before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)Desktop (please complete the following information):
- OS: Debian
- Version 11