Skip to main content

Image processing routines for SciPy

Project description

Image Processing SciKit

Image processing algorithms for SciPy, including IO, morphology, filtering, warping, color manipulation, object detection, etc.

Please refer to the online documentation at http://scikit-image.org/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-image-0.13.1.tar.gz (26.1 MB view details)

Uploaded Source

Built Distributions

scikit_image-0.13.1-cp37-cp37m-win_amd64.whl (24.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

scikit_image-0.13.1-cp37-cp37m-win32.whl (23.6 MB view details)

Uploaded CPython 3.7m Windows x86

scikit_image-0.13.1-cp36-cp36m-win_amd64.whl (24.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

scikit_image-0.13.1-cp36-cp36m-win32.whl (23.4 MB view details)

Uploaded CPython 3.6m Windows x86

scikit_image-0.13.1-cp36-cp36m-manylinux1_x86_64.whl (35.8 MB view details)

Uploaded CPython 3.6m

scikit_image-0.13.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (28.9 MB view details)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

scikit_image-0.13.1-cp35-cp35m-win_amd64.whl (24.0 MB view details)

Uploaded CPython 3.5m Windows x86-64

scikit_image-0.13.1-cp35-cp35m-win32.whl (23.3 MB view details)

Uploaded CPython 3.5m Windows x86

scikit_image-0.13.1-cp35-cp35m-manylinux1_x86_64.whl (35.5 MB view details)

Uploaded CPython 3.5m

scikit_image-0.13.1-cp34-cp34m-win_amd64.whl (23.9 MB view details)

Uploaded CPython 3.4m Windows x86-64

scikit_image-0.13.1-cp34-cp34m-win32.whl (23.4 MB view details)

Uploaded CPython 3.4m Windows x86

scikit_image-0.13.1-cp34-cp34m-manylinux1_x86_64.whl (35.6 MB view details)

Uploaded CPython 3.4m

scikit_image-0.13.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (28.7 MB view details)

Uploaded CPython 3.4m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

scikit_image-0.13.1-cp27-cp27mu-manylinux1_x86_64.whl (35.2 MB view details)

Uploaded CPython 2.7mu

scikit_image-0.13.1-cp27-cp27m-win_amd64.whl (24.1 MB view details)

Uploaded CPython 2.7m Windows x86-64

scikit_image-0.13.1-cp27-cp27m-win32.whl (23.5 MB view details)

Uploaded CPython 2.7m Windows x86

scikit_image-0.13.1-cp27-cp27m-manylinux1_x86_64.whl (35.2 MB view details)

Uploaded CPython 2.7m

scikit_image-0.13.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (29.3 MB view details)

Uploaded CPython 2.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

File details

Details for the file scikit-image-0.13.1.tar.gz.

File metadata

File hashes

Hashes for scikit-image-0.13.1.tar.gz
Algorithm Hash digest
SHA256 353879ddf7483f4621872c49cd9bc8a0ad1c3154ac0670b70799922f4cb899e8
MD5 39df2916bd949c2a622f932e0e07cf63
BLAKE2b-256 832ac5a39c12c196c19a443fa4d17c0768a24231e46ae952930a9d66bad45557

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0de04a28b48ec00ad4ba8197fa1e6bd4d382609bf56b5ba23971c6fa3bddeccf
MD5 039c5f72a1e3d3e9622bb5bc24966a19
BLAKE2b-256 daf1bf0c0d2329c0222f05aee4f197b45ed7a27a28d311c281b02dfe7bbf911d

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp37-cp37m-win32.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 2c316bdec863bdd5eaa5d527a7b82a4e78237816faec46bd178b8ff7e30b5500
MD5 1d709f10149e340e8630222bacfa6276
BLAKE2b-256 a66f0753ad43e5d655a702e07578c482707c45e15bf1cdb0e8a6833f64706688

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 9535c1e770f476f8d79992bf632fce01da80f52a0a7e34da56834e7483771afe
MD5 683ac64e29123448da92cb15239a6b34
BLAKE2b-256 563461ed7550a0b0abc20a466fd3295b794281c65f98e59e0e8d4d71f3320723

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 591895cf2620df3aef510c658f93069dc5e482bc244544fe2dbeda8578dcf5c5
MD5 db6d4fd39b33872424bc82f8a223b862
BLAKE2b-256 eabcb293ffce3142cabefa87ad6b8f1f32c7e142ceb5be19504b8a89fd717443

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5c27b7b7500e3405114c8fda474a5be27823741c0e8e7cdb7142c8da8895f8fb
MD5 a7f4d3db6a6a3bb23e68b17d9e4824a6
BLAKE2b-256 600e75fbf63c3b7a14fdbfaf92ca77035c18e90963003031148211bf12441be7

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 cdb41868c766d4607ded5c158fc195853859a0e3e108ab5804c3acdd3d592d86
MD5 b0e36ebd3ec6b74cef3f8171e6d992ca
BLAKE2b-256 efe57571121d4a27c0171c78ed3ced287373541fc137797a6060574ba35b1316

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 7dfcd39eb004c2e1595ad6ab1d0dd1e83bc065efe6260376bb4b45df12cfa101
MD5 d1fc5059e8c83293a0eb073653333f75
BLAKE2b-256 4edc0166f777bf114642e1191d637c7f840a0d614e3fc8074e9514f1429c3ce7

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp35-cp35m-win32.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 e18953a500faed68163e6cea9b274865dff27faee9186fa76a637cb23391908e
MD5 1b29e277fb5068ae4c1759f83129137d
BLAKE2b-256 4c0f0c4f5b239d8a2c572a9907203a153402f1765bb698cafb856d6bd801747c

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 199ba92019c5549783aa629b615394bec7302572b6f5727017a78d3ccc737de9
MD5 feacd22369449266c11b2df9a07efad0
BLAKE2b-256 6418402284ae09b6a2a8694e707b4924a1a9573bb4aa67923cf487978555e822

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp34-cp34m-win_amd64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp34-cp34m-win_amd64.whl
Algorithm Hash digest
SHA256 a01b1d29a67b1721dcc674f88d8f8c3660c16e84a914bf4eef8ba6bf135379d7
MD5 51da7b22d11e6ca46c0170cd18bd1684
BLAKE2b-256 3ac6dfff9418fe5a579d16025fac6e0bce3e16a53e4c244fcd99779979021cf3

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp34-cp34m-win32.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp34-cp34m-win32.whl
Algorithm Hash digest
SHA256 f1a06c39888cfdab005cf297d854a204209d7623586546a1364ee996eb41e423
MD5 038dc9287dfeb0a07ae3f1ad19da56ee
BLAKE2b-256 576e54436387c4e578972913d2d86fb1c40cfb0fd81d37d3a91253410dd39404

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d5a12eb267cb901de57318d00d3e7514035f10a8b5d6710d7ecce7d106ca0b43
MD5 23788450b0078f5a58b0c5f3c7d08ff6
BLAKE2b-256 438cc0e114eeb0e1f85fa0b49ce127a1499861b305945b71a5d07b10b504e985

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 dc2c0a351d1c30448c52df007ef1aa3d2a49dd1ded132e89a217e8ec4afe0f04
MD5 4ad042a075a38978e9fbcd21c015c998
BLAKE2b-256 8bd75d8ec77dc19bab966a91fa2922d3d218aebe99bd839ff8ddd5e1ca85c5ac

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 944feb2920ac6a8fc63f05c4abc6811d6fd270b7b5a586cef37cb4ce65534355
MD5 5c99236eb0d8b0a5dce1b26bb05c06ec
BLAKE2b-256 d79a41b2bbbb1e9abe24b7c6b6acc8377e47cd430d446e881dd8845feb03d8b3

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 21c989eea994597a4ccb5b6cb16f6700a0b39d3e9f6c2a83a692c7345b02eb5e
MD5 f5d411fc809a20deb63e8e841dcb6134
BLAKE2b-256 996a3cef68e69245c27c5154c9d1ece3f363b40296f98e20ff66646605f2318a

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 d109ffd1e2a314c6cb448d22e8a5fd0b8f39031faeeb38b63fbb104822f06d3a
MD5 5f1a92e64ff0142ba900323f88f7225b
BLAKE2b-256 9528961f7008fff074a1763d67e431a11aab09390030ad5446ab06361391b1d9

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b16e80c49bdd764d8e22e9a4edf741913c5b5b6c0918d8c8f266c2b5e385553e
MD5 5f3b9d49328d88285852407403c30fd7
BLAKE2b-256 0daa0ba100a71ca302543a1fb40a6d23a1a98c39b64cda553f3850b2ec56b649

See more details on using hashes here.

Provenance

File details

Details for the file scikit_image-0.13.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for scikit_image-0.13.1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 9fdef28d7f54411d80d37bbcede324c45abf44ee4b804f25e52c5967dfc2a00c
MD5 3d3e0cc5b44c89aad6aaa427cc09626c
BLAKE2b-256 265ab95745a38ca32014f3604957a91f80d40a0aae9c6ea28a19048670be81b7

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page