ncnn

ncnn

ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployment and uses on mobile phones from the beginning of design. ncnn does not have third-party dependencies. It is cross-platform and runs faster than all known open-source frameworks on mobile phone cpu. Developers can easily deploy deep learning algorithm models to the mobile platform by using efficient ncnn implementation, creating intelligent APPs, and bringing artificial intelligence to your fingertips. ncnn is currently being used in many Tencent applications, such as QQ, Qzone, WeChat, Pitu, and so on.

ncnn 是一个为手机端极致优化的高性能神经网络前向计算框架。 ncnn 从设计之初深刻考虑手机端的部署和使用。无第三方依赖，跨平台，手机端 cpu 的速度快于目前所有已知的开源框架。基于 ncnn，开发者能够将深度学习算法轻松移植到手机端高效执行，开发出人工智能 APP，将 AI 带到你的指尖。 ncnn 目前已在腾讯多款应用中使用，如：QQ，Qzone，微信，天天 P 图等。

技术交流 QQ 群 637093648 (超多大佬) 答案：卷卷卷卷卷（已满）	Telegram Group https://t.me/ncnnyes	Discord Channel https://discord.gg/YRsxgmF
Pocky QQ 群（MLIR YES!） 677104663 (超多大佬) 答案：multi-level intermediate representation
他们都不知道 pnnx 有多好用群 818998520 (新群！)

Download & Build status

https://github.com/Tencent/ncnn/releases/latest

	how to build ncnn library on Linux / Windows / macOS / Raspberry Pi3, Pi4 / POWER / Android / NVIDIA Jetson / iOS / WebAssembly / AllWinner D1 / Loongson 2K1000
	Source
	Build for Android Build for Termux on Android
	Android
	Android shared
	Build for HarmonyOS with cross-compiling
	HarmonyOS
	HarmonyOS shared
	Build for iOS on macOS with xcode
	iOS
	iOS-Simulator
	Build for macOS
	macOS
	Mac-Catalyst
	watchOS
	watchOS-Simulator
	tvOS
	tvOS-Simulator
	visionOS
	visionOS-Simulator
	Apple xcframework
	Build for Linux / NVIDIA Jetson / Raspberry Pi3, Pi4 / POWER
	Ubuntu 20.04
	Ubuntu 22.04
	Ubuntu 24.04
	Build for Windows x64 using VS2017 Build for Windows x64 using MinGW-w64
	VS2015
	VS2017
	VS2019
	VS2022
	Build for WebAssembly
	WebAssembly
	Build for ARM Cortex-A family with cross-compiling Build for Hisilicon platform with cross-compiling Build for AllWinner D1 Build for Loongson 2K1000 Build for QNX
	Linux (arm)
	Linux (aarch64)
	Linux (mips)
	Linux (mips64)
	Linux (ppc64)
	Linux (riscv64)
	Linux (loongarch64)

Support most commonly used CNN network

支持大部分常用的 CNN 网络

Classical CNN: VGG AlexNet GoogleNet Inception ...
Practical CNN: ResNet DenseNet SENet FPN ...
Light-weight CNN: SqueezeNet MobileNetV1 MobileNetV2/V3 ShuffleNetV1 ShuffleNetV2 MNasNet ...
Face Detection: MTCNN RetinaFace scrfd ...
Detection: VGG-SSD MobileNet-SSD SqueezeNet-SSD MobileNetV2-SSDLite MobileNetV3-SSDLite ...
Detection: Faster-RCNN R-FCN ...
Detection: YOLOv2 YOLOv3 MobileNet-YOLOv3 YOLOv4 YOLOv5 YOLOv7 YOLOX YOLOv8 ...
Detection: NanoDet
Segmentation: FCN PSPNet UNet YOLACT ...
Pose Estimation: SimplePose ...

HowTo

use ncnn with alexnet with detailed steps, recommended for beginners :)

ncnn 组件使用指北 alexnet 附带详细步骤，新人强烈推荐 :)

use netron for ncnn model visualization

use ncnn with pytorch or onnx

ncnn low-level operation api

ncnn param and model file spec

ncnn operation param weight table

how to implement custom layer step by step

FAQ

ncnn throw error

ncnn produce wrong result

ncnn vulkan

Features

Supports convolutional neural networks, supports multiple input and multi-branch structure, can calculate part of the branch
No third-party library dependencies, does not rely on BLAS / NNPACK or any other computing framework
Pure C++ implementation, cross-platform, supports Android, iOS and so on
ARM NEON assembly level of careful optimization, calculation speed is extremely high
Sophisticated memory management and data structure design, very low memory footprint
Supports multi-core parallel computing acceleration, ARM big.LITTLE CPU scheduling optimization
Supports GPU acceleration via the next-generation low-overhead Vulkan API
Extensible model design, supports 8bit quantization and half-precision floating point storage, can import caffe/pytorch/mxnet/onnx/darknet/keras/tensorflow(mlir) models
Support direct memory zero copy reference load network model
Can be registered with custom layer implementation and extended
Well, it is strong, not afraid of being stuffed with 卷 QvQ

功能概述

支持卷积神经网络，支持多输入和多分支结构，可计算部分分支
无任何第三方库依赖，不依赖 BLAS/NNPACK 等计算框架
纯 C++ 实现，跨平台，支持 Android / iOS 等
ARM Neon 汇编级良心优化，计算速度极快
精细的内存管理和数据结构设计，内存占用极低
支持多核并行计算加速，ARM big.LITTLE CPU 调度优化
支持基于全新低消耗的 Vulkan API GPU 加速
可扩展的模型设计，支持 8bit 量化和半精度浮点存储，可导入 caffe/pytorch/mxnet/onnx/darknet/keras/tensorflow(mlir) 模型
支持直接内存零拷贝引用加载网络模型
可注册自定义层实现并扩展
恩，很强就是了，不怕被塞卷 QvQ

supported platform matrix

✅ = known work and runs fast with good optimization
✔️ = known work, but speed may not be fast enough
❔ = shall work, not confirmed
/ = not applied

	Windows	Linux	Android	macOS	iOS
intel-cpu	✔️	✔️	❔	✔️	/
intel-gpu	✔️	✔️	❔	❔	/
amd-cpu	✔️	✔️	❔	✔️	/
amd-gpu	✔️	✔️	❔	❔	/
nvidia-gpu	✔️	✔️	❔	❔	/
qcom-cpu	❔	✔️	✅	/	/
qcom-gpu	❔	✔️	✔️	/	/
arm-cpu	❔	❔	✅	/	/
arm-gpu	❔	❔	✔️	/	/
apple-cpu	/	/	/	✔️	✅
apple-gpu	/	/	/	✔️	✔️
ibm-cpu	/	✔️	/	/	/

Project examples

https://github.com/magicse/ncnn-colorization-siggraph17

https://github.com/mizu-bai/ncnn-fortran Call ncnn from Fortran
https://github.com/k2-fsa/sherpa Use ncnn for real-time speech recognition (i.e., speech-to-text); also support embedded devices and provide mobile Apps (e.g., Android App)

License

BSD 3 Clause

Metadata

Release files for ncnn 1.0.20250428

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ncnn 1.0.20250428
File	Size	Uploaded
ncnn-1.0.20250428.tar.gz	4.0 MB	Apr 28, 2025	Details

Built distributions (wheels)

Table of built distributions (wheels) for ncnn 1.0.20250428
File	Interpreter	ABI	Platform	Reset
ncnn-1.0.20250428-pp311-pypy311_pp73-win_amd64.whl 3.9 MB Apr 28, 2025	PyPy 3.11	PyPy 3.11 7.3	Windows x86-64	Details
ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	PyPy 3.11	PyPy 3.11 7.3	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	PyPy 3.11	PyPy 3.11 7.3	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	PyPy 3.11	PyPy 3.11 7.3	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-pp311-pypy311_pp73-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	PyPy 3.11	PyPy 3.11 7.3	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-pp310-pypy310_pp73-win_amd64.whl 3.9 MB Apr 28, 2025	PyPy 3.10	PyPy 3.10 7.3	Windows x86-64	Details
ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	PyPy 3.10	PyPy 3.10 7.3	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	PyPy 3.10	PyPy 3.10 7.3	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	PyPy 3.10	PyPy 3.10 7.3	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-pp310-pypy310_pp73-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	PyPy 3.10	PyPy 3.10 7.3	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-pp39-pypy39_pp73-win_amd64.whl 3.9 MB Apr 28, 2025	PyPy 3.9	PyPy 3.9 7.3	Windows x86-64	Details
ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	PyPy 3.9	PyPy 3.9 7.3	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	PyPy 3.9	PyPy 3.9 7.3	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	PyPy 3.9	PyPy 3.9 7.3	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-pp39-pypy39_pp73-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	PyPy 3.9	PyPy 3.9 7.3	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-pp38-pypy38_pp73-win_amd64.whl 3.9 MB Apr 28, 2025	PyPy 3.8	PyPy 3.8 7.3	Windows x86-64	Details
ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	PyPy 3.8	PyPy 3.8 7.3	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	PyPy 3.8	PyPy 3.8 7.3	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	PyPy 3.8	PyPy 3.8 7.3	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-pp38-pypy38_pp73-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	PyPy 3.8	PyPy 3.8 7.3	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-pp37-pypy37_pp73-win_amd64.whl 3.9 MB Apr 28, 2025	PyPy 3.7	PyPy 3.7 7.3	Windows x86-64	Details
ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	PyPy 3.7	PyPy 3.7 7.3	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	PyPy 3.7	PyPy 3.7 7.3	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	PyPy 3.7	PyPy 3.7 7.3	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-pp37-pypy37_pp73-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	PyPy 3.7	PyPy 3.7 7.3	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp313-cp313-win_arm64.whl 2.0 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Windows ARM64	Details
ncnn-1.0.20250428-cp313-cp313-win_amd64.whl 3.8 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Windows x86-64	Details
ncnn-1.0.20250428-cp313-cp313-win32.whl 3.3 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Windows x86-32	Details
ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp313-cp313-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp313-cp313-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	CPython 3.13	CPython 3.13	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp313-cp313-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp312-cp312-win_arm64.whl 2.0 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Windows ARM64	Details
ncnn-1.0.20250428-cp312-cp312-win_amd64.whl 3.8 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Windows x86-64	Details
ncnn-1.0.20250428-cp312-cp312-win32.whl 3.3 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Windows x86-32	Details
ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp312-cp312-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp312-cp312-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	CPython 3.12	CPython 3.12	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp312-cp312-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp311-cp311-win_arm64.whl 2.0 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Windows ARM64	Details
ncnn-1.0.20250428-cp311-cp311-win_amd64.whl 3.8 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Windows x86-64	Details
ncnn-1.0.20250428-cp311-cp311-win32.whl 3.3 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Windows x86-32	Details
ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp311-cp311-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp311-cp311-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	CPython 3.11	CPython 3.11	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp311-cp311-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp310-cp310-win_arm64.whl 2.0 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Windows ARM64	Details
ncnn-1.0.20250428-cp310-cp310-win_amd64.whl 3.8 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Windows x86-64	Details
ncnn-1.0.20250428-cp310-cp310-win32.whl 3.3 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Windows x86-32	Details
ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp310-cp310-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp310-cp310-macosx_11_0_x86_64.whl 9.8 MB Apr 28, 2025	CPython 3.10	CPython 3.10	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp310-cp310-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp39-cp39-win_arm64.whl 2.0 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Windows ARM64	Details
ncnn-1.0.20250428-cp39-cp39-win_amd64.whl 3.8 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Windows x86-64	Details
ncnn-1.0.20250428-cp39-cp39-win32.whl 3.3 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Windows x86-32	Details
ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp39-cp39-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp39-cp39-macosx_11_0_x86_64.whl 9.9 MB Apr 28, 2025	CPython 3.9	CPython 3.9	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp39-cp39-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp38-cp38-win_amd64.whl 3.9 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Windows x86-64	Details
ncnn-1.0.20250428-cp38-cp38-win32.whl 3.3 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Windows x86-32	Details
ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp38-cp38-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp38-cp38-macosx_11_0_x86_64.whl 9.8 MB Apr 28, 2025	CPython 3.8	CPython 3.8	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp38-cp38-macosx_11_0_arm64.whl 7.4 MB Apr 28, 2025	CPython 3.8	CPython 3.8	macOS 11.0+ ARM64	Details
ncnn-1.0.20250428-cp37-cp37m-win_amd64.whl 3.9 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Windows x86-64	Details
ncnn-1.0.20250428-cp37-cp37m-win32.whl 3.3 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Windows x86-32	Details
ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp37-cp37m-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp37-cp37m-macosx_11_0_x86_64.whl 9.8 MB Apr 28, 2025	CPython 3.7	CPython 3.7 pymalloc	macOS 11.0+ x86-64	Details
ncnn-1.0.20250428-cp36-cp36m-win_amd64.whl 3.9 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Windows x86-64	Details
ncnn-1.0.20250428-cp36-cp36m-win32.whl 3.3 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Windows x86-32	Details
ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_x86_64.whl 7.3 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux musl 1.2+ x86-64	Details
ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_i686.whl 7.3 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux musl 1.2+ x86-32	Details
ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_armv7l.whl 3.9 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux musl 1.2+ ARMv7l	Details
ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_aarch64.whl 5.2 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux musl 1.2+ ARM64	Details
ncnn-1.0.20250428-cp36-cp36m-manylinux_2_31_armv7l.whl 2.9 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.31+ ARMv7l	Details
ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 5.6 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.17+ x86-64	Details
ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl 5.6 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.17+ x86-32	Details
ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 4.1 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.17+ ARM64	Details
ncnn-1.0.20250428-cp36-cp36m-macosx_11_0_x86_64.whl 9.8 MB Apr 28, 2025	CPython 3.6	CPython 3.6 pymalloc	macOS 11.0+ x86-64	Details

Total release size: 674.6 MB

Release files / ncnn-1.0.20250428.tar.gz

Download URL	ncnn-1.0.20250428.tar.gz
Size	4.0 MB
Tags	Source
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Release files / ncnn-1.0.20250428-pp311-pypy311_pp73-win_amd64.whl

Download URL	ncnn-1.0.20250428-pp311-pypy311_pp73-win_amd64.whl
Size	3.9 MB
Tags	PyPy 3.11 PyPy 3.11 7.3 Windows x86-64
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Release files / ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-64 PyPy 3.11 PyPy 3.11 7.3
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Release files / ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL	ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-32 PyPy 3.11 PyPy 3.11 7.3
SHA-256 checksum How to use checksums	`946845f21774a3b1a517f21334ce54b107ce186dcc2825e63d4fa773837f0ad0`
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Release files / ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	ncnn-1.0.20250428-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	4.1 MB
Tags	Linux glibc 2.17+ ARM64 PyPy 3.11 PyPy 3.11 7.3
SHA-256 checksum How to use checksums	`0240d3f7cd17bf0b62c4811c8f55341e00c2d26fe10758afb058f81535f8a4f2`
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Release files / ncnn-1.0.20250428-pp311-pypy311_pp73-macosx_11_0_x86_64.whl

Download URL	ncnn-1.0.20250428-pp311-pypy311_pp73-macosx_11_0_x86_64.whl
Size	9.9 MB
Tags	PyPy 3.11 PyPy 3.11 7.3 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`572d20d9cee9e0aee27af0811bd1b9d2ef662a679131a4de73992bb03912832d`
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Release files / ncnn-1.0.20250428-pp310-pypy310_pp73-win_amd64.whl

Download URL	ncnn-1.0.20250428-pp310-pypy310_pp73-win_amd64.whl
Size	3.9 MB
Tags	PyPy 3.10 PyPy 3.10 7.3 Windows x86-64
SHA-256 checksum How to use checksums	`97b736929bc61ed9a48c2c2ed6083259bed64c0722ec2b881900db74aa044198`
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Release files / ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-64 PyPy 3.10 PyPy 3.10 7.3
SHA-256 checksum How to use checksums	`9539fe17084e9ad978eaadde9275e5cad86fc57ca8b898c9af6c6fd1b1f53e94`
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Release files / ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL	ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-32 PyPy 3.10 PyPy 3.10 7.3
SHA-256 checksum How to use checksums	`33c9558d454d79983f9da804813e71a341e2bda9153bbcbbd405a40184fe9d4c`
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Release files / ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	ncnn-1.0.20250428-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	4.1 MB
Tags	Linux glibc 2.17+ ARM64 PyPy 3.10 PyPy 3.10 7.3
SHA-256 checksum How to use checksums	`e419b5a71808f7c8c5168f92f17817cdfae97e07a5535f0eb47347873b932133`
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Release files / ncnn-1.0.20250428-pp310-pypy310_pp73-macosx_11_0_x86_64.whl

Download URL	ncnn-1.0.20250428-pp310-pypy310_pp73-macosx_11_0_x86_64.whl
Size	9.9 MB
Tags	PyPy 3.10 PyPy 3.10 7.3 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`0984737552f291c63c94eea0ab7674f3d89c75f0edd5bd508191df96a49b79d0`
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Release files / ncnn-1.0.20250428-pp39-pypy39_pp73-win_amd64.whl

Download URL	ncnn-1.0.20250428-pp39-pypy39_pp73-win_amd64.whl
Size	3.9 MB
Tags	PyPy 3.9 PyPy 3.9 7.3 Windows x86-64
SHA-256 checksum How to use checksums	`9cebfaecb624505da0f28acf3292277b3c3dc091c427bd16556b5f3472934535`
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Release files / ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-64 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum How to use checksums	`a867947d0e707ab48e53e52d956a1915e9c98a1c6b787fac37f224357b225090`
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Release files / ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL	ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Size	5.6 MB
Tags	Linux glibc 2.17+ x86-32 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum How to use checksums	`66d67997b9ca88deaaef7e736f72f4f8f6a57291ad6480cbd25b047523cfa132`
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Release files / ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	ncnn-1.0.20250428-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	4.1 MB
Tags	Linux glibc 2.17+ ARM64 PyPy 3.9 PyPy 3.9 7.3
SHA-256 checksum How to use checksums	`d19946225b26d8773692225356aa6faa0946a2b15a6868d035dcad2b1dbb39ca`
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Release files / ncnn-1.0.20250428-pp39-pypy39_pp73-macosx_11_0_x86_64.whl

Download URL	ncnn-1.0.20250428-pp39-pypy39_pp73-macosx_11_0_x86_64.whl
Size	9.9 MB
Tags	PyPy 3.9 PyPy 3.9 7.3 macOS 11.0+ x86-64
SHA-256 checksum How to use checksums	`689fac3b4bef38cab185c59b85178c3ff93705dc7cf0d125ab2dceee97716fca`
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Release files / ncnn-1.0.20250428-pp38-pypy38_pp73-win_amd64.whl

Download URL	ncnn-1.0.20250428-pp38-pypy38_pp73-win_amd64.whl
Size	3.9 MB
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Release files / ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-pp38-pypy38_pp73-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-pp37-pypy37_pp73-win_amd64.whl

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Release files / ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-pp37-pypy37_pp73-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-win_arm64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-win32.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp313-cp313-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-win_arm64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-win32.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp312-cp312-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-win_arm64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-win32.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp311-cp311-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-win_arm64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-win32.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp310-cp310-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-win_arm64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-win32.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp39-cp39-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-win32.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_i686.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_armv7l.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-musllinux_1_2_aarch64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-manylinux_2_31_armv7l.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-macosx_11_0_x86_64.whl

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Release files / ncnn-1.0.20250428-cp38-cp38-macosx_11_0_arm64.whl

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Release files / ncnn-1.0.20250428-cp37-cp37m-win_amd64.whl

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Release files / ncnn-1.0.20250428-cp37-cp37m-win32.whl

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Release files / ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_x86_64.whl

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Release files / ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_i686.whl

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Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_armv7l.whl

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Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_aarch64.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-musllinux_1_2_aarch64.whl
Size	5.2 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ ARM64
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Release files / ncnn-1.0.20250428-cp37-cp37m-manylinux_2_31_armv7l.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-manylinux_2_31_armv7l.whl
Size	2.9 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.31+ ARMv7l
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Release files / ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	5.6 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64
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Release files / ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Size	5.6 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32
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Release files / ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	4.1 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64
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Upload date	Apr 28, 2025
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Release files / ncnn-1.0.20250428-cp37-cp37m-macosx_11_0_x86_64.whl

Download URL	ncnn-1.0.20250428-cp37-cp37m-macosx_11_0_x86_64.whl
Size	9.8 MB
Tags	CPython 3.7 CPython 3.7 pymalloc macOS 11.0+ x86-64
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Release files / ncnn-1.0.20250428-cp36-cp36m-win_amd64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-win_amd64.whl
Size	3.9 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Windows x86-64
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Release files / ncnn-1.0.20250428-cp36-cp36m-win32.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-win32.whl
Size	3.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Windows x86-32
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Release files / ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_x86_64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_x86_64.whl
Size	7.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`849e2542d15ec44ddc19bf7ea7944db0c6c3599289140f51ccdc975788c434e1`
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Release files / ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_i686.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_i686.whl
Size	7.3 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ x86-32
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Release files / ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_armv7l.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_armv7l.whl
Size	3.9 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ ARMv7l
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Release files / ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_aarch64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-musllinux_1_2_aarch64.whl
Size	5.2 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ ARM64
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Release files / ncnn-1.0.20250428-cp36-cp36m-manylinux_2_31_armv7l.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-manylinux_2_31_armv7l.whl
Size	2.9 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`b10d2cca55a4af7d71684f91f6d7fe7280b58f289940ea96d33a7d5aea07411d`
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Release files / ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	5.6 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64
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Release files / ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Size	5.6 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32
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Release files / ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	4.1 MB
Tags	CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ ARM64
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Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / ncnn-1.0.20250428-cp36-cp36m-macosx_11_0_x86_64.whl

Download URL	ncnn-1.0.20250428-cp36-cp36m-macosx_11_0_x86_64.whl
Size	9.8 MB
Tags	CPython 3.6 CPython 3.6 pymalloc macOS 11.0+ x86-64
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