{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/yolox-exceeding-yolo-series-in-2021","title":"YOLOX: Exceeding YOLO Series in 2021","arxiv_id":"2107.08430","date":"2021-07-18","proceeding":null,"authors":["Zheng Ge","Songtao Liu","Feng Wang","Zeming Li","Jian Sun"],"abstract":"In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX. We switch the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results across a large scale range of models: For YOLO-Nano with only 0.91M parameters and 1.08G FLOPs, we get 25.3% AP on COCO, surpassing NanoDet by 1.8% AP; for YOLOv3, one of the most widely used detectors in industry, we boost it to 47.3% AP on COCO, outperforming the current best practice by 3.0% AP; for YOLOX-L with roughly the same amount of parameters as YOLOv4-CSP, YOLOv5-L, we achieve 50.0% AP on COCO at a speed of 68.9 FPS on Tesla V100, exceeding YOLOv5-L by 1.8% AP. Further, we won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) using a single YOLOX-L model. We hope this report can provide useful experience for developers and researchers in practical scenes, and we also provide deploy versions with ONNX, TensorRT, NCNN, and Openvino supported. Source code is at https://github.com/Megvii-BaseDetection/YOLOX.","url_abs":"https://arxiv.org/abs/2107.08430v2","url_pdf":"https://arxiv.org/pdf/2107.08430v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/Megvii-BaseDetection/YOLOX","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-1/ms-code-182","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-1/ms-code-31","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/DataXujing/YOLOX-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/Deci-AI/super-gradients","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/MegEngine/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/NEUAutonomousDriving408/CIVCAutonomousDriving","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"GPL-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/StephenStorm/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/apolloauto/apollo-model-yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/jesse01/paddle-yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/jinsheng124/yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/kisna-aryan/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/liuyuan000/yolox_sar","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/middleprince/YOLOX-SS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/newsun-boki/yolovx-openvino-c--video-infer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/newsun-boki/yolox-openvino-video-infer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/open-edge-platform/geti","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/pistachio0812/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/pmj110119/yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/qy1994-0919/cfpnet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/texasinstruments/edgeai-yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/wangdongdut/dut-anti-uav","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/xiyie/yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/zhangming8/yolox-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://dagshub.com/arnavr.neo/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-1/ms-code-191","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-1/ms-code-194","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-1/ms-code-216/tree/main/res2net_yolov3","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/2023-MindSpore-4/Code10/tree/main/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/CycloneBoy/PPDetectionPytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/PaddlePaddle/PaddleDetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/alibaba/EasyCV","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/code-implementation1/Code9/tree/main/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/code-implementation1/Code9/tree/main/YOLOv3","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/gloria111/YOLOX_paddle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/lazyn1997/YOLOX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":{"status":"ok"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/mszpc/yolox","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"yolox-exceeding-yolo-series-in-2021","repo_url":"https://github.com/open-mmlab/mmdetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"2d-object-detection","task_name":"2D Object Detection"},{"task_slug":"autonomous-driving","task_name":"Autonomous Driving"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"real-time-object-detection","task_name":"Real-Time Object Detection"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"cspdarknet53","method_name":"CSPDarknet53"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"global-average-pooling","method_name":"Global Average Pooling"},{"method_slug":"logistic-regression","method_name":"Logistic Regression"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"yolo","method_name":"YOLO"},{"method_slug":"yolox","method_name":"YOLOX"},{"method_slug":"yolov3","method_name":"YOLOv3"},{"method_slug":"k-means-clustering","method_name":"k-Means Clustering"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/2d-object-detection-on-ceymo","task":"2D Object Detection","dataset":"CeyMo","model":"YOLOX","rank_in_archive_order":4,"of":5,"metrics":{"mAP":"57.7"},"uses_additional_data":false},{"leaderboard":"/sota/object-detection-on-coco","task":"Object Detection","dataset":"COCO test-dev","model":"YOLOX-x(Modified CSP v5, 640x640, single-scale)","rank_in_archive_order":78,"of":225,"metrics":{"box mAP":"51.5"},"uses_additional_data":true},{"leaderboard":"/sota/object-detection-on-coco","task":"Object Detection","dataset":"COCO test-dev","model":"YOLOX-X (Modified CSP v5)","rank_in_archive_order":83,"of":225,"metrics":{"AP50":"69.6","AP75":"55.7","APL":"66.1","APM":"56.1","APS":"31.2","Params (M)":"99.1","box mAP":"51.2"},"uses_additional_data":false},{"leaderboard":"/sota/object-detection-on-coco","task":"Object Detection","dataset":"COCO test-dev","model":"YOLOX-Darknet53(Darknet53, 640x640, single-scale)","rank_in_archive_order":111,"of":225,"metrics":{"box mAP":"48.0"},"uses_additional_data":true},{"leaderboard":"/sota/object-detection-on-coco-o","task":"Object Detection","dataset":"COCO-O","model":"YOLOX-X","rank_in_archive_order":19,"of":45,"metrics":{"Average mAP":"30.3","Effective Robustness":"7.26"},"uses_additional_data":false},{"leaderboard":"/sota/object-detection-on-coco-o","task":"Object Detection","dataset":"COCO-O","model":"YOLOX-S","rank_in_archive_order":29,"of":45,"metrics":{"Average mAP":"20.6","Effective Robustness":"2.48"},"uses_additional_data":false},{"leaderboard":"/sota/object-detection-on-waterscenes","task":"Object Detection","dataset":"WaterScenes","model":"YOLOX-M","rank_in_archive_order":2,"of":4,"metrics":{"mAP@50-95":"57.8"},"uses_additional_data":false},{"leaderboard":"/sota/real-time-object-detection-on-argoverse-hd-3","task":"Real-Time Object Detection","dataset":"Argoverse-HD (Detection-Only, Test)","model":"YOLOX","rank_in_archive_order":1,"of":3,"metrics":{"AP":"41.1"},"uses_additional_data":true},{"leaderboard":"/sota/real-time-object-detection-on-argoverse-hd-2","task":"Real-Time Object Detection","dataset":"Argoverse-HD (Detection-Only, Val)","model":"YOLOX","rank_in_archive_order":1,"of":2,"metrics":{"AP":"47.42"},"uses_additional_data":true},{"leaderboard":"/sota/real-time-object-detection-on-argoverse-hd-5","task":"Real-Time Object Detection","dataset":"Argoverse-HD (Full-Stack, Test)","model":"YOLOX","rank_in_archive_order":1,"of":3,"metrics":{"AP":"41.1"},"uses_additional_data":true},{"leaderboard":"/sota/real-time-object-detection-on-coco","task":"Real-Time Object Detection","dataset":"COCO (Common Objects in Context)","model":"YOLOv5-X","rank_in_archive_order":55,"of":82,"metrics":{"FPS (V100, b=1)":"62.5","box AP":"50.4"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2107.08430","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.08430"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pmj110119/yolox","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/qy1994-0919/cfpnet","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/2023-MindSpore-1/ms-code-182","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jesse01/paddle-yolox","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/xiyie/yolox","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/kisna-aryan/YOLOX","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/code-implementation1/Code7/tree/main/res2net_yolov3","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wangdongdut/dut-anti-uav","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MindSpore-paper-code-2/code2/tree/main/res2net_yolov3","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pistachio0812/YOLOX","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/apolloauto/apollo-model-yolox","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/open-mmlab/mmdetection","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/2023-MindSpore-1/ms-code-194","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mszpc/yolox","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/PaddlePaddle/PaddleDetection","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gloria111/YOLOX_paddle","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/2023-MindSpore-1/ms-code-191","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/alibaba/EasyCV","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/texasinstruments/edgeai-yolox","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/zhangming8/yolox-pytorch","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/newsun-boki/yolox-openvino-video-infer","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/DataXujing/YOLOX-","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://dagshub.com/arnavr.neo/YOLOX","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/lazyn1997/YOLOX","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran_draft_wrong":1,"unverified":22},"by_repo_kind":{"listed":{"samples":23,"ran":1,"repositories":7}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"b9e24c3e3e0e88a7","entry":"merge","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"model_utils/config.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/model_utils/config.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b9e24c3e3e0e88a7"}},{"code_sha256_prefix":"e460868d0e106ef7","entry":"calculate_gain","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"src/initializer.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/src/initializer.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e460868d0e106ef7"}},{"code_sha256_prefix":"7111f135eb8bfff5","entry":"create_yolox_model","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"7111f135eb8bfff5"}},{"code_sha256_prefix":"1c1d860f1cb790da","entry":"create_yolox_model","repo":"kisna-aryan/YOLOX","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/kisna-aryan/YOLOX/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"1c1d860f1cb790da"}},{"code_sha256_prefix":"d3111a0ae5602114","entry":"fuse_conv_and_bn","repo":"DataXujing/YOLOX-","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/DataXujing/YOLOX-/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d3111a0ae5602114"}},{"code_sha256_prefix":"57bfa676482bc295","entry":"fuse_conv_and_bn","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"57bfa676482bc295"}},{"code_sha256_prefix":"bce7fbf2f1717430","entry":"fuse_model","repo":"DataXujing/YOLOX-","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/DataXujing/YOLOX-/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"bce7fbf2f1717430"}},{"code_sha256_prefix":"927238a3415f3aa2","entry":"fuse_model","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"927238a3415f3aa2"}},{"code_sha256_prefix":"6e3d5f4c3ce305d7","entry":"get_activation","repo":"DataXujing/YOLOX-","repo_kind":"listed","path":"yolox/models/network_blocks.py","file_url":"https://github.com/DataXujing/YOLOX-/blob/HEAD/yolox/models/network_blocks.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6e3d5f4c3ce305d7"}},{"code_sha256_prefix":"2f7db76440582d33","entry":"get_image_list","repo":"chenyicai-0611/YOLOX-Flask-deployment","repo_kind":"listed","path":"YOLOX-flask/backend/predict.py","file_url":"https://github.com/chenyicai-0611/YOLOX-Flask-deployment/blob/HEAD/YOLOX-flask/backend/predict.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"2f7db76440582d33"}},{"code_sha256_prefix":"bb879be65ea0ad0d","entry":"get_logger","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"src/logger.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/src/logger.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"bb879be65ea0ad0d"}},{"code_sha256_prefix":"624c83e485703cd7","entry":"get_model_info","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"624c83e485703cd7"}},{"code_sha256_prefix":"ac69eca3db22245e","entry":"kaiming_uniform_","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"src/initializer.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/src/initializer.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ac69eca3db22245e"}},{"code_sha256_prefix":"738456e1b7388e7e","entry":"parse_cli_to_yaml","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"model_utils/config.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/model_utils/config.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"738456e1b7388e7e"}},{"code_sha256_prefix":"a5a844a8ffaaa722","entry":"parse_yaml","repo":"2023-MindSpore-1/ms-code-31","repo_kind":"listed","path":"model_utils/config.py","file_url":"https://github.com/2023-MindSpore-1/ms-code-31/blob/HEAD/model_utils/config.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a5a844a8ffaaa722"}},{"code_sha256_prefix":"93358ba7aa223343","entry":"reduce_loss","repo":"StephenStorm/YOLOX","repo_kind":"listed","path":"yolox/models/VariFocalLoss.py","file_url":"https://github.com/StephenStorm/YOLOX/blob/HEAD/yolox/models/VariFocalLoss.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"93358ba7aa223343"}},{"code_sha256_prefix":"14dbd04931eace27","entry":"replace_module","repo":"MegEngine/YOLOX","repo_kind":"listed","path":"yolox/utils/model_utils.py","file_url":"https://github.com/MegEngine/YOLOX/blob/HEAD/yolox/utils/model_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"14dbd04931eace27"}},{"code_sha256_prefix":"48e94cb9aba6d73d","entry":"varifocal_loss","repo":"StephenStorm/YOLOX","repo_kind":"listed","path":"yolox/models/VariFocalLoss.py","file_url":"https://github.com/StephenStorm/YOLOX/blob/HEAD/yolox/models/VariFocalLoss.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"48e94cb9aba6d73d"}},{"code_sha256_prefix":"8553862254d49840","entry":"weight_reduce_loss","repo":"StephenStorm/YOLOX","repo_kind":"listed","path":"yolox/models/VariFocalLoss.py","file_url":"https://github.com/StephenStorm/YOLOX/blob/HEAD/yolox/models/VariFocalLoss.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"8553862254d49840"}},{"code_sha256_prefix":"706978d51729ca8d","entry":"yolox_nano","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"706978d51729ca8d"}},{"code_sha256_prefix":"4657da89fcf077b4","entry":"yolox_nano","repo":"kisna-aryan/YOLOX","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/kisna-aryan/YOLOX/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4657da89fcf077b4"}},{"code_sha256_prefix":"af7e14a4cec878b8","entry":"yolox_tiny","repo":"apolloauto/apollo-model-yolox","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/apolloauto/apollo-model-yolox/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"af7e14a4cec878b8"}},{"code_sha256_prefix":"6bbd9ef4e16fa647","entry":"yolox_tiny","repo":"kisna-aryan/YOLOX","repo_kind":"listed","path":"yolox/models/build.py","file_url":"https://github.com/kisna-aryan/YOLOX/blob/HEAD/yolox/models/build.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6bbd9ef4e16fa647"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}