From c6c624b992c31d17bbe8ce762d7149902852dfd7 Mon Sep 17 00:00:00 2001 From: Florian Vahl Date: Fri, 24 Feb 2023 15:20:36 +0100 Subject: [PATCH 01/11] Add first version of the efficient decoder --- config/yoeo_light_decoder.cfg | 370 ++++++++++++++++++++++++++++++++++ 1 file changed, 370 insertions(+) create mode 100644 config/yoeo_light_decoder.cfg diff --git a/config/yoeo_light_decoder.cfg b/config/yoeo_light_decoder.cfg new file mode 100644 index 0000000..e207b20 --- /dev/null +++ b/config/yoeo_light_decoder.cfg @@ -0,0 +1,370 @@ +[net] +# Testing +#batch=1 +#subdivisions=1 +# Training +batch=64 +subdivisions=8 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +burn_in=100 +max_batches = 4000 +policy=steps +steps=50000,60000 +scales=.1,.1 + +#### +# Like YOEO rev 2 but with deeper skip connections +#### + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1 +groups=2 +group_id=1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -1,-2 + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -6,-1 + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1 +groups=2 +group_id=1 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -1,-2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -6,-1 + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1 +groups=2 +group_id=1 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -1,-2 + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[route] +layers = -6,-1 + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +########### + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=24 +activation=linear + + + +[yolo] +mask = 3,4,5 +anchors = 17, 32, 13,171, 37, 67, 30,224, 69,112, 116,212 +classes=3 +num=6 +jitter=.3 +ignore_thresh = .7 +truth_thresh = 1 +random=1 + +[route] +layers = -4 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[upsample] +stride=2 + +[route] +layers = -1, 24 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=24 +activation=linear + +[yolo] +mask = 0,1,2 +anchors = 17, 32, 13,171, 37, 67, 30,224, 69,112, 116,212 +classes=3 +num=6 +jitter=.3 +ignore_thresh = .7 +truth_thresh = 1 +random=1 + +[route] +layers = 18 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[upsample] +stride=2 + +[route] +layers = -1, 10 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[upsample] +stride=2 + +[route] +layers = -1, 2 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[upsample] +stride=2 + +[route] +layers = -1, 0 + +[convolutional] +batch_normalize=1 +filters=8 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=8 +size=3 +stride=1 +pad=1 +activation=leaky + +[upsample] +stride=2 + +[convolutional] +batch_normalize=1 +filters=3 +size=1 +stride=1 +pad=1 +activation=linear + +[seg] +classes=3 From 6a0eeadbf81d99ab8ed7b3053fbff5beb20c03ce Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Sat, 25 Feb 2023 13:56:28 +0100 Subject: [PATCH 02/11] Simplify decoder further --- config/yoeo_light_decoder.cfg | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/config/yoeo_light_decoder.cfg b/config/yoeo_light_decoder.cfg index e207b20..ed25bcc 100644 --- a/config/yoeo_light_decoder.cfg +++ b/config/yoeo_light_decoder.cfg @@ -4,7 +4,7 @@ #subdivisions=1 # Training batch=64 -subdivisions=8 +subdivisions=2 width=416 height=416 channels=3 @@ -276,15 +276,7 @@ layers = 18 [convolutional] batch_normalize=1 filters=64 -size=3 -stride=1 -pad=1 -activation=leaky - -[convolutional] -batch_normalize=1 -filters=64 -size=3 +size=1 stride=1 pad=1 activation=leaky @@ -298,7 +290,7 @@ layers = -1, 10 [convolutional] batch_normalize=1 filters=32 -size=3 +size=1 stride=1 pad=1 activation=leaky @@ -320,7 +312,7 @@ layers = -1, 2 [convolutional] batch_normalize=1 filters=16 -size=3 +size=1 stride=1 pad=1 activation=leaky @@ -342,7 +334,7 @@ layers = -1, 0 [convolutional] batch_normalize=1 filters=8 -size=3 +size=1 stride=1 pad=1 activation=leaky @@ -358,6 +350,14 @@ activation=leaky [upsample] stride=2 +[convolutional] +batch_normalize=1 +filters=8 +size=3 +stride=1 +pad=1 +activation=leaky + [convolutional] batch_normalize=1 filters=3 From 12b21c97b345088637525fd0d32e4a6ed05e379d Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Sat, 25 Feb 2023 15:00:40 +0100 Subject: [PATCH 03/11] Add onnx runtime again --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 9024c43..581f684 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,7 @@ onnx = "^1.9.0" onnx-simplifier = "^0.3.5" PyYAML = "^6.0" opencv-python = "^4.5.2" +onnxruntime = "^1.14.0" [tool.poetry.dev-dependencies] profilehooks = "^1.12.0" From 14b0319cc096d99ffa1f7b58af55dc13b30731eb Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Sat, 25 Feb 2023 15:00:52 +0100 Subject: [PATCH 04/11] Update package lock --- poetry.lock | 137 +++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 136 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 9a57585..cec7dfb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -146,6 +146,24 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "coloredlogs" +version = "15.0.1" +description = "Colored terminal output for Python's logging module" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"}, + {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"}, +] + +[package.dependencies] +humanfriendly = ">=9.1" + +[package.extras] +cron = ["capturer (>=2.4)"] + [[package]] name = "contourpy" version = "1.0.7" @@ -233,6 +251,18 @@ files = [ {file = 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"sha256:c12c2814c9a3f886939113508805a53c0a2c8661a2834b31b5c23a7a327500bf"}, +] + +[package.dependencies] +coloredlogs = "*" +flatbuffers = "*" +numpy = ">=1.21.6" +packaging = "*" +protobuf = "*" +sympy = "*" + [[package]] name = "opencv-python" version = "4.7.0.72" @@ -1129,6 +1237,18 @@ files = [ [package.extras] diagrams = ["jinja2", "railroad-diagrams"] +[[package]] +name = "pyreadline3" +version = "3.4.1" +description = "A python implementation of GNU readline." +category = "main" +optional = false +python-versions = "*" +files = [ + {file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"}, + {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"}, +] + [[package]] name = "python-dateutil" version = "2.8.2" @@ -1505,6 +1625,21 @@ files = [ {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, ] +[[package]] +name = "sympy" +version = "1.11.1" +description = "Computer algebra system (CAS) in Python" +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "sympy-1.11.1-py3-none-any.whl", hash = "sha256:938f984ee2b1e8eae8a07b884c8b7a1146010040fccddc6539c54f401c8f6fcf"}, + {file = "sympy-1.11.1.tar.gz", hash = "sha256:e32380dce63cb7c0108ed525570092fd45168bdae2faa17e528221ef72e88658"}, +] + +[package.dependencies] +mpmath = ">=0.19" + [[package]] name = "tensorboard" version = "2.12.0" @@ -1783,4 +1918,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more [metadata] lock-version = "2.0" python-versions = ">=3.8,<4.0" -content-hash = "5e4111caa0e314411da15a5bfa3c9ca3b7c4f8761dcafd0887af527b24d84c16" +content-hash = "bcae8f083731b48f716533400d0830cd4c30ee2d233f4ed1418587bb2f47d998" From 0742667acc5300eef68a270ebe2116460b1d4df0 Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Sat, 25 Feb 2023 17:30:29 +0100 Subject: [PATCH 05/11] Add TVM conversion script --- pyproject.toml | 1 + yoeo/scripts/convertONNXModelToTVM.py | 110 ++++++++++++++++++++++++++ 2 files changed, 111 insertions(+) create mode 100644 yoeo/scripts/convertONNXModelToTVM.py diff --git a/pyproject.toml b/pyproject.toml index 581f684..0c8dc07 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,3 +35,4 @@ yoeo-train = "yoeo.train:run" yoeo-test = "yoeo.test:run" yoeo-to-onnx = "yoeo.scripts.convertPyTorchModelToONNX:run" yoeo-onnx-to-openvino = "yoeo.scripts.convertONNXModelToOpenVinoIR:run" +yoeo-onnx-to-tvm = "yoeo.scripts.convertONNXModelToTVM:run" diff --git a/yoeo/scripts/convertONNXModelToTVM.py b/yoeo/scripts/convertONNXModelToTVM.py new file mode 100644 index 0000000..75ebb15 --- /dev/null +++ b/yoeo/scripts/convertONNXModelToTVM.py @@ -0,0 +1,110 @@ +import argparse +import sys +from shutil import copyfile + +import onnx + +try: + from tvm.driver import tvmc + from tvm.driver.tvmc.model import TVMCModel + from tvm.relay.transform import ToMixedPrecision + from tvm import relay +except ModuleNotFoundError: + print("Please install Apache TVM!") + sys.exit(1) + + +def make_parser(): + parser = argparse.ArgumentParser("YOEO TVM Tuning") + parser.add_argument( + "onnx_path", + type=str, + help="Path to the simplified onnx model") + parser.add_argument( + "--input_size", + default=416, + type=int, + help="Input image size") + parser.add_argument( + "-t", + "--trials", + default=20000, + type=int, + help="Number of tuning trials") + parser.add_argument( + "--full", + default=False, + action="store_true", + help="Tune with full precision (FP32) instead of mixed precision." + ) + parser.add_argument( + "-c", + "--tuning_record_checkpoint", + default=None, + type=str, + help="Prior tuning records") + parser.add_argument( + "-r", + "--output_tuning_records", + default="tuning_records.json", + type=str, + help="Path to the tuning records that are created for this optimization") + parser.add_argument( + "-t", + "--target", + default="vulkan -from_device=0", + type=str, + help="Target device (e.g. 'llvm' (CPU), 'vulkan' (GPU) or 'cuda' (GPU))") + parser.add_argument( + "-o", + "--output_model", + default="compiled_model.tar", + type=str, + help="File where the compiled model is saved after the tuning.") + return parser + + +def run(): + # Make CLI + args = make_parser().parse_args() + + # Define model input + input_name = "InputLayer" + shape_list = {input_name : (1, 3, args.input_size, args.input_size)} + + # Load onnx model into TVM + onnx_model = onnx.load(args.onnx_path) + mod, params = relay.frontend.from_onnx(onnx_model, shape_list) + + # Convert model to FP16 (half) + if not args.full: + mod = ToMixedPrecision(mixed_precision_type='float16')(mod) + + # Build an TVM Compiler model + tvmc_model = TVMCModel(mod, params) + + # Tune the model (depending on the hardware and parameters this takes days) + tvmc.tune( + tvmc_model, + target=args.target, + prior_records=args.tuning_record_checkpoint, + tuning_records=args.output_tuning_records, + min_repeat_ms=200, + number=20, + repeat=3, + trials=args.trials, + enable_autoscheduler=True + ) + + # Compile the model based on the optimizations discovered in the tuning + package = tvmc.compile( + tvmc_model, + target=args.target, + tuning_records=args.output_tuning_records) + + # Copy the temporary compiler result to the correct destination + copyfile(package.package_path, args.output_model) + + +if __name__ == "__main__": + run() From 451897d2a4f95fb9669f1ce1c70cd68183c112d2 Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Mon, 27 Feb 2023 22:41:32 +0100 Subject: [PATCH 06/11] Anchorless and wider --- config/yoeo_light_decoder.cfg | 38 +++++++++++++++-------------------- 1 file changed, 16 insertions(+), 22 deletions(-) diff --git a/config/yoeo_light_decoder.cfg b/config/yoeo_light_decoder.cfg index ed25bcc..c3da01f 100644 --- a/config/yoeo_light_decoder.cfg +++ b/config/yoeo_light_decoder.cfg @@ -22,10 +22,6 @@ policy=steps steps=50000,60000 scales=.1,.1 -#### -# Like YOEO rev 2 but with deeper skip connections -#### - [convolutional] batch_normalize=1 filters=32 @@ -213,16 +209,14 @@ activation=leaky size=1 stride=1 pad=1 -filters=24 +filters=8 activation=linear - - [yolo] -mask = 3,4,5 -anchors = 17, 32, 13,171, 37, 67, 30,224, 69,112, 116,212 +mask = 0,1 +anchors = 100, 100 classes=3 -num=6 +num=1 jitter=.3 ignore_thresh = .7 truth_thresh = 1 @@ -257,14 +251,14 @@ activation=leaky size=1 stride=1 pad=1 -filters=24 +filters=8 activation=linear [yolo] -mask = 0,1,2 -anchors = 17, 32, 13,171, 37, 67, 30,224, 69,112, 116,212 +mask = 0,1 +anchors = 100,100 classes=3 -num=6 +num=1 jitter=.3 ignore_thresh = .7 truth_thresh = 1 @@ -275,7 +269,7 @@ layers = 18 [convolutional] batch_normalize=1 -filters=64 +filters=128 size=1 stride=1 pad=1 @@ -289,7 +283,7 @@ layers = -1, 10 [convolutional] batch_normalize=1 -filters=32 +filters=64 size=1 stride=1 pad=1 @@ -297,7 +291,7 @@ activation=leaky [convolutional] batch_normalize=1 -filters=32 +filters=64 size=3 stride=1 pad=1 @@ -311,7 +305,7 @@ layers = -1, 2 [convolutional] batch_normalize=1 -filters=16 +filters=32 size=1 stride=1 pad=1 @@ -319,7 +313,7 @@ activation=leaky [convolutional] batch_normalize=1 -filters=16 +filters=32 size=3 stride=1 pad=1 @@ -333,7 +327,7 @@ layers = -1, 0 [convolutional] batch_normalize=1 -filters=8 +filters=16 size=1 stride=1 pad=1 @@ -341,7 +335,7 @@ activation=leaky [convolutional] batch_normalize=1 -filters=8 +filters=16 size=3 stride=1 pad=1 @@ -352,7 +346,7 @@ stride=2 [convolutional] batch_normalize=1 -filters=8 +filters=16 size=3 stride=1 pad=1 From 4b0f3dc5be01c3a6e7e48264b516dbf06fecd24b Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Tue, 28 Feb 2023 01:34:28 +0100 Subject: [PATCH 07/11] Fix cfg --- config/yoeo_light_decoder.cfg | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/config/yoeo_light_decoder.cfg b/config/yoeo_light_decoder.cfg index c3da01f..29e592c 100644 --- a/config/yoeo_light_decoder.cfg +++ b/config/yoeo_light_decoder.cfg @@ -4,7 +4,7 @@ #subdivisions=1 # Training batch=64 -subdivisions=2 +subdivisions=4 width=416 height=416 channels=3 @@ -15,7 +15,7 @@ saturation = 1.5 exposure = 1.5 hue=.1 -learning_rate=0.001 +learning_rate=0.0001 burn_in=100 max_batches = 4000 policy=steps @@ -213,7 +213,7 @@ filters=8 activation=linear [yolo] -mask = 0,1 +mask = 0 anchors = 100, 100 classes=3 num=1 @@ -255,7 +255,7 @@ filters=8 activation=linear [yolo] -mask = 0,1 +mask = 0 anchors = 100,100 classes=3 num=1 From da6c00ad6922e8f6e53d5d864b01d9acd78e57b7 Mon Sep 17 00:00:00 2001 From: Florian Vahl Date: Wed, 7 Jun 2023 17:19:03 +0200 Subject: [PATCH 08/11] Update convertONNXModelToTVM.py --- yoeo/scripts/convertONNXModelToTVM.py | 36 ++++++++++++++++----------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/yoeo/scripts/convertONNXModelToTVM.py b/yoeo/scripts/convertONNXModelToTVM.py index 75ebb15..e39b7de 100644 --- a/yoeo/scripts/convertONNXModelToTVM.py +++ b/yoeo/scripts/convertONNXModelToTVM.py @@ -32,10 +32,16 @@ def make_parser(): type=int, help="Number of tuning trials") parser.add_argument( - "--full", + "--half", default=False, action="store_true", - help="Tune with full precision (FP32) instead of mixed precision." + help="Tune with mixed precision instead of full precision (FP32)." + ) + parser.add_argument( + "--no_tuning", + default=False, + action="store_true", + help="Disables the tuning of the model for testing purposes." ) parser.add_argument( "-c", @@ -77,24 +83,26 @@ def run(): mod, params = relay.frontend.from_onnx(onnx_model, shape_list) # Convert model to FP16 (half) - if not args.full: + if args.half: mod = ToMixedPrecision(mixed_precision_type='float16')(mod) # Build an TVM Compiler model tvmc_model = TVMCModel(mod, params) + # Tune the model (depending on the hardware and parameters this takes days) - tvmc.tune( - tvmc_model, - target=args.target, - prior_records=args.tuning_record_checkpoint, - tuning_records=args.output_tuning_records, - min_repeat_ms=200, - number=20, - repeat=3, - trials=args.trials, - enable_autoscheduler=True - ) + if not args.no_tuning: + tvmc.tune( + tvmc_model, + target=args.target, + prior_records=args.tuning_record_checkpoint, + tuning_records=args.output_tuning_records, + min_repeat_ms=200, + number=20, + repeat=3, + trials=args.trials, + enable_autoscheduler=True + ) # Compile the model based on the optimizations discovered in the tuning package = tvmc.compile( From defea61384e3992f85bbb6897f78d282c0a7277d Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Wed, 7 Jun 2023 17:35:17 +0200 Subject: [PATCH 09/11] Bump deps --- poetry.lock | 1211 ++++++++++++++++++++++++--------------------------- 1 file changed, 573 insertions(+), 638 deletions(-) diff --git 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51af302..0707186 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ authors = ["Florian Vahl ", "Jan Gutsche "] [tool.poetry.dependencies] python = ">=3.8,<4.0" numpy = "^1.21.1" -torch = ">=1.10.1, <1.13.0" +torch = ">=1.10.1" torchvision = ">=0.8.2" matplotlib = "^3.3.3" tensorboard = "^2.12.2" From 78dd2a2fce80ee9d048bfdd5d8f9910a0ecf4351 Mon Sep 17 00:00:00 2001 From: Florian Vahl <7vahl@informatik.uni-hamburg.de> Date: Fri, 14 Jul 2023 16:09:57 +0200 Subject: [PATCH 11/11] Fix versions --- poetry.lock | 407 ++++++++++++++++++++++--------------------------- pyproject.toml | 6 +- 2 files changed, 186 insertions(+), 227 deletions(-) diff --git a/poetry.lock b/poetry.lock index 993087c..7dacb1e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -38,87 +38,87 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.1.0" +version = "3.2.0" description = "The Real First Universal Charset Detector. 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