add kosmo-2 caption script and update diffusers and transformers to latest
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"""
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Copyright [2022-2023] Victor C Hall
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Licensed under the GNU Affero General Public License;
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You may not use this code except in compliance with the License.
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You may obtain a copy of the License at
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https://www.gnu.org/licenses/agpl-3.0.en.html
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import os
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import io
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import argparse
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import time
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from PIL import Image
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from pynvml import *
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from transformers import AutoProcessor, AutoModelForVision2Seq
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GROUNDING = "<grounding>"
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SUPPORTED_EXT = [".jpg", ".png", ".jpeg", ".bmp", ".jfif", ".webp"]
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def get_gpu_memory_map():
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nvmlInit()
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handle = nvmlDeviceGetHandleByIndex(0)
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info = nvmlDeviceGetMemoryInfo(handle)
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nvmlShutdown()
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return info.used/1024/1024
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def remove_starting_string(a, b):
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if b.startswith(a):
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return b[len(a):] # Remove string A from the beginning of string B
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else:
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return b
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def main(args):
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for root, dirs, files in os.walk(args.data_root):
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for file in files:
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#get file extension
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ext = os.path.splitext(file)[1]
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if ext.lower() in SUPPORTED_EXT:
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start_time = time.time()
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full_file_path = os.path.join(root, file)
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image = Image.open(full_file_path)
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model = AutoModelForVision2Seq.from_pretrained("microsoft/kosmos-2-patch14-224")
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processor = AutoProcessor.from_pretrained("microsoft/kosmos-2-patch14-224")
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full_file_path = os.path.join(root, file)
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image = Image.open(full_file_path)
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inputs = processor(text=GROUNDING+args.prompt, images=image, return_tensors="pt")
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generated_ids = model.generate(
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pixel_values=inputs["pixel_values"],
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input_ids=inputs["input_ids"],
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attention_mask=inputs["attention_mask"],
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image_embeds=None,
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image_embeds_position_mask=inputs["image_embeds_position_mask"],
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use_cache=True,
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max_new_tokens=args.max_new_tokens,
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)
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generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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processed_text, entities = processor.post_process_generation(generated_text) # remove remaining special tokens to get just the caption and entities
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if not args.keep_prompt:
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processed_text = remove_starting_string(args.prompt, processed_text)
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print(f"File: {image}, Generated caption: {processed_text}")
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name = os.path.splitext(full_file_path)[0]
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if not os.path.exists(f"{name}.txt") or args.over_write:
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with open(f"{name}.txt", "w") as f:
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f.write(processed_text)
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if args.save_entities and (not os.path.exists(f"{name}.ent") or args.over_write):
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with open(f"{name}.ent", "w") as entities_file:
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entities_file.write(entities)
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if __name__ == "__main__":
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print("Kosmos-2 captioning script")
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parser = argparse.ArgumentParser()
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parser.add_argument("--data_root", type=str, default="input", help="Path to folder of images to caption")
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parser.add_argument("--prompt", type=str, default="An image of", help="Prompt for generating caption")
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parser.add_argument("--keep_prompt", action="store_true", default=False, help="will keep the prompt at the start of the caption when saved")
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parser.add_argument("--max_new_tokens", type=int, default=128, help="Maximum number of tokens to generate")
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parser.add_argument("--save_entities", action="store_true", default=False, help="Save coord box with entities to a separate .ent file")
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parser.add_argument("--over_write", action="store_true", default=False, help="will overwrite txt and ent files if they exist")
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args = parser.parse_args()
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main(args)
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@ -1,8 +1,8 @@
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diffusers[torch]>=0.18.0
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diffusers[torch]>=0.21.4
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ninja
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ninja
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numpy
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numpy
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omegaconf==2.2.3
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omegaconf==2.2.3
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protobuf==3.20.3
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protobuf==3.20.3
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pyre-extensions==0.0.29
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pyre-extensions==0.0.29
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pytorch-lightning==1.9.2
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pytorch-lightning==1.9.2
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transformers==4.29.2
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transformers==4.35.0
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@ -4,8 +4,8 @@ echo should be in venv here
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cd .
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cd .
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python -m pip install --upgrade pip
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python -m pip install --upgrade pip
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pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url "https://download.pytorch.org/whl/cu118"
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pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url "https://download.pytorch.org/whl/cu118"
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pip install -U transformers==4.29.2
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pip install -U transformers==4.35.0
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pip install -U diffusers[torch]==0.18.0
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pip install -U diffusers[torch]==0.21.4
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pip install pynvml==11.4.1
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pip install pynvml==11.4.1
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pip install -U pip install -U https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl
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pip install -U pip install -U https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl
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pip install ftfy==6.1.1
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pip install ftfy==6.1.1
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