diff options
Diffstat (limited to 'megapixels/notebooks/datasets')
35 files changed, 86 insertions, 212 deletions
diff --git a/megapixels/notebooks/datasets/face_tracer/face_tracer.png b/megapixels/notebooks/datasets/face_tracer/face_tracer.png Binary files differdeleted file mode 100644 index dc04f0a6..00000000 --- a/megapixels/notebooks/datasets/face_tracer/face_tracer.png +++ /dev/null diff --git a/megapixels/notebooks/datasets/knowledge_graph/identity.ipynb b/megapixels/notebooks/datasets/identity/identity_testing.ipynb index 81a74faf..384cca93 100644 --- a/megapixels/notebooks/datasets/knowledge_graph/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/identity_testing.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 155, "metadata": {}, "outputs": [], "source": [ @@ -48,72 +48,87 @@ "\n", "import sys\n", "sys.path.append('/work/megapixels_dev/megapixels')\n", - "from app.utils import api_utils\n", + "from app.utils import api_utils, identity_utils\n", + "from app.settings import app_cfg\n", "from app.settings import types" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 159, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/media/adam/ah8tb/work/megapixels_dev/env/google_knowledge_graph_api.env\n" + ] + } + ], "source": [ - "## Get List of Names" + "print(app_cfg.FP_KNOWLEDGE_GRAPH_ENV)" ] }, { - "cell_type": "code", - "execution_count": 2, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "def get_names(enum_dataset):\n", - " if enum_dataset == types.Dataset.LFW:\n", - " dir_lfw = '/data_store_hdd/datasets/people/lfw/media/original/'\n", - " names = [x.replace('_', ' ') for x in os.listdir(dir_lfw)]\n", - " elif enum_dataset == types.Dataset.YOUTUBE_FACES:\n", - " names = [x for x in names if 'labeled faces.txt' not in x]\n", - " return names" + "## Get List of Names" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 160, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "['Kim Clijsters', 'William Rosenberg', 'John Brady', 'Juan Ignacio Chela', 'Floyd Keith', 'Sam Gerald', 'Imad Khadduri', 'Anna Kournikova', 'Jacques Rogge', 'Wilbert Elki Meza Majino']\n" + "['Kim Clijsters', 'William Rosenberg', 'John Brady', 'Juan Ignacio Chela', 'Floyd Keith', 'Sam Gerald', 'Imad Khadduri', 'Anna Kournikova', 'Jacques Rogge', 'Wilbert Elki Meza Majino']\n", + "['Kim_Clijsters', 'William_Rosenberg', 'John_Brady', 'Juan_Ignacio_Chela', 'Floyd_Keith', 'Sam_Gerald', 'Imad_Khadduri', 'Anna_Kournikova', 'Jacques_Rogge', 'Wilbert_Elki_Meza_Majino']\n" ] } ], "source": [ - "names = get_names(types.Dataset.LFW)\n", - "print(names[0:10])" + "names = identity_utils.get_names(types.Dataset.LFW)\n", + "print(names['names_query'][0:10])\n", + "print(names['names_orig'][0:10])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Google Knowledge Graph API" + "## Google Knowledge Graph API\n", + "\n", + "- about 100.000 requests per 24 hours" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 161, "metadata": {}, "outputs": [], "source": [ "# read API key\n", - "api_key = open('/work/megapixels_dev/env/google_knowledge_graph_api.env').read()\n", + "\n", + "api_key = open(app_cfg.FP_KNOWLEDGE_GRAPH_ENV).read()\n", "kg_api = api_utils.GoogleKnowledgeGraph(api_key)\n", "wp_api = api_utils.WikipediaAPI()" ] }, { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Test API Access" + ] + }, + { "cell_type": "code", - "execution_count": 241, + "execution_count": 128, "metadata": {}, "outputs": [ { @@ -121,27 +136,33 @@ "output_type": "stream", "text": [ "wp\n", - "{'wp_accessed': True, 'wp_description': '', 'wp_name': '', 'wp_page_id': ''}\n", + "https://en.wikipedia.org/w/api.php?redirects=&ppprop=displaytitle&prop=pageprops%7Cpageimages%7Cdescription&generator=prefixsearch&action=query&format=json&piprop=thumbnail&pilimit=1&gpssearch=Vicente+Fox&gpsnamespace=0&gpslimit=1\n", + "{'wp_accessed': True,\n", + " 'wp_description': 'President of Mexico',\n", + " 'wp_name': 'Vicente Fox',\n", + " 'wp_page_id': '32836'}\n", "kg\n", "{'kg_accessed': True,\n", - " 'kg_bio': '',\n", - " 'kg_bio_url': '',\n", - " 'kg_description': '',\n", - " 'kg_id': '',\n", - " 'kg_image_url': '',\n", - " 'kg_name': '',\n", - " 'kg_score': 0,\n", + " 'kg_bio': 'Vicente Fox Quesada, RSerafO is a Mexican businessman and '\n", + " 'politician who served as the 55th President of Mexico from 1 '\n", + " 'December 2000 to 30 November 2006.\\n',\n", + " 'kg_bio_url': 'https://en.wikipedia.org/wiki/Vicente_Fox',\n", + " 'kg_description': 'Former President of Mexico',\n", + " 'kg_error': '',\n", + " 'kg_id': '/m/081f4',\n", + " 'kg_image_url': 'http://t2.gstatic.com/images?q=tbn:ANd9GcQqs1Z0NhSLve9OyfdC0AHFWKWlTpHO4tCnU7dedSSz2kzCRk60',\n", + " 'kg_name': 'Vicente Fox',\n", + " 'kg_score': 610.987427,\n", " 'kg_url': '',\n", - " 'query': 'Jeff Dederian'}\n" + " 'query': 'Vicente Fox'}\n" ] } ], "source": [ - "#wp_api.test_access()\n", - "print('wp')\n", - "pprint(wp_api.get_meta({'query': 'Florecita Cobian'}))\n", - "print('kg')\n", - "pprint(kg_api.get_kg_from_name({'query':'Jeff Dederian'}))" + "print('wp----')\n", + "pprint(wp_api.get_meta({'query': 'Vicente Fox'}, verbose=True))\n", + "print('kg----')\n", + "pprint(kg_api.get_kg_from_name({'query':'Vicente Fox'}))" ] }, { @@ -153,121 +174,29 @@ }, { "cell_type": "code", - "execution_count": 242, - "metadata": {}, - "outputs": [], - "source": [ - "def same_person(query, name, sim_min=.9, word_match_min=0.75, verbose=False):\n", - " if name == '':\n", - " return False\n", - " # check and remove if WP added parenthesis\n", - " if '(' in name and ')' in name:\n", - " name = name.split('(')[0]\n", - " \n", - " # then strip spaces and split into list\n", - " query_strings = [unidecode.unidecode(x.strip().lower()) for x in query.strip().split(' ')] # query\n", - " result_strings = [unidecode.unidecode(x.strip().lower()) for x in name.strip().split(' ')] # result\n", - " min_str_len = min(len(result_strings), len(query_strings))\n", - " # match each word in the query\n", - " matched_strings = []\n", - " \n", - " for i in range(len(query_strings)):\n", - " # for each word in the shorter text string\n", - " result_strings_tmp = result_strings.copy()\n", - " for j in range(len(result_strings_tmp)):\n", - " a = query_strings[i]\n", - " b = result_strings_tmp[j]\n", - " # make a the shorter string\n", - " lengths = [len(a), len(b)]\n", - " min_ratio = (min(lengths) / max(lengths) * .75)\n", - " ratio = difflib.SequenceMatcher(a=a.lower(), b=b.lower()).ratio()\n", - " result = (ratio >= min_ratio)\n", - " if verbose:\n", - " print(f'comapre \"{a}\" to \"{b}\" ratio was: {ratio:.2f} min: {min_ratio:.2}, passed: {result}')\n", - " if result:\n", - " # remove this item from result strings\n", - " matched_string = result_strings.pop(j)\n", - " matched_strings.append(matched_string)\n", - " break # exit loop and use shortened result string haystack\n", - "\n", - " matched = len(matched_strings) >= min_str_len\n", - " if verbose:\n", - " print(f'{matched} because {len(matched_strings)} >= {min_str_len}')\n", - " return matched" - ] - }, - { - "cell_type": "code", - "execution_count": 245, + "execution_count": 162, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(Adoor Gopalakrishnan == Adoors Gopalakarishnan ok) = True\n", - "\n", - "comapre \"dave\" to \"david\" ratio was: 0.67 min: 0.6, passed: True\n", - "comapre \"letterman\" to \"letterman\" ratio was: 1.00 min: 0.75, passed: True\n", - "True because 2 >= 2\n", - "(David Letterman == Dave Letterman) = True\n", - "\n", - "comapre \"charles\" to \"charles\" ratio was: 1.00 min: 0.75, passed: True\n", - "comapre \"dickens\" to \"booker\" ratio was: 0.31 min: 0.64, passed: False\n", - "False because 1 >= 2\n", - "(Charles Booker == Charles Dickens) = False\n", - "\n", - "comapre \"donald\" to \"don\" ratio was: 0.67 min: 0.38, passed: True\n", - "comapre \"trump\" to \"j.\" ratio was: 0.00 min: 0.3, passed: False\n", - "comapre \"trump\" to \"trump\" ratio was: 1.00 min: 0.75, passed: True\n", - "True because 2 >= 2\n", - "(Don J. Trump == Donald Trump) = True\n", - "\n", - "comapre \"wang\" to \"wang\" ratio was: 1.00 min: 0.75, passed: True\n", - "comapre \"fei\" to \"fei\" ratio was: 1.00 min: 0.75, passed: True\n", - "True because 2 >= 2\n", - "(Wang Fei (female footballer) == Wang Fei) = True\n" + "0.7714285714285716\n" ] } ], "source": [ - "test_sim_match = True\n", - "if test_sim_match:\n", - " # Test name similarity search\n", - " query = 'Adoors Gopalakarishnan ok'\n", - " wp_name = 'Adoor Gopalakrishnan'\n", - " matched = same_person(query, wp_name)\n", - " print(f'({wp_name} == {query}) = {matched}')\n", - " print('')\n", - "\n", - " query = 'Dave Letterman'\n", - " wp_name = 'David Letterman'\n", - " matched = same_person(query, wp_name, verbose=True)\n", - " print(f'({wp_name} == {query}) = {matched}')\n", - " print('')\n", - "\n", - " query = 'Charles Dickens'\n", - " wp_name = 'Charles Booker'\n", - " matched = same_person(query, wp_name, verbose=True)\n", - " print(f'({wp_name} == {query}) = {matched}')\n", - " print('')\n", - "\n", - " query = 'Donald Trump'\n", - " wp_name = 'Don J. Trump'\n", - " matched = same_person(query, wp_name, verbose=True)\n", - " print(f'({wp_name} == {query}) = {matched}')\n", - " print('')\n", - " \n", - " query = 'Wang Fei'\n", - " kg_name = 'Faye Wong'\n", - " wp_name = 'Wang Fei (female footballer)'\n", - " matched = same_person(query, wp_name, verbose=True)\n", - " print(f'({wp_name} == {query}) = {matched}')" + "#print(identity_utils.names_match('Andréss Iniestas', 'Andres Iniestalossas Jr.', as_float=True))\n", + "#print(identity_utils.names_match('Adoor Gopalakrishnan', 'Adoors Gopalakarishnan', as_float=True))\n", + "#print(identity_utils.names_match('Dave Letterman', 'David Letterman', as_float=True))\n", + "print(identity_utils.names_match('Charles Dickens', 'Charles Boooker', as_float=True))\n", + "#print(identity_utils.names_match('Donald Trump', 'Donald J. Trump', as_float=True))\n", + "#print(identity_utils.names_match('Wang Fei', 'Fei Wang III', as_float=True))" ] }, { "cell_type": "code", - "execution_count": 246, + "execution_count": 126, "metadata": {}, "outputs": [], "source": [ @@ -710,69 +639,13 @@ "source": [ "df_mapped_persons.head(2)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Clean data" - ] - }, - { - "cell_type": "code", - "execution_count": 225, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "for mp in mapped_persons:\n", - " mp['source_name'] = mp['source_name'].replace(' ', '_')\n", - "# mp['kg_description'] = mp['kg_description'].strip()\n", - "# mp['kg_name'] = mp['kg_name'].strip()\n", - "# mp['kg_bio_url'] = mp['kg_bio_url'].strip()\n", - "# mp['kg_bio'] = mp['kg_bio'].strip()\n", - "# mp['kg_url'] = mp['kg_url'].strip()\n", - " \n", - "# mp['wp_description'] = mp['wp_description'].strip()\n", - "# mp['wp_name'] = mp['wp_name'].strip()\n", - " \n", - "# mp['mp_name'] = ''\n", - "# mp['mp_bio'] = ''\n", - "# mp['mp_description'] = ''\n", - "# mp['mp_slug'] = ''\n", - " \n", - " #mp.setdefault('kg_description','')\n", - "# if mp.get('kg_score', 0) == 0:\n", - "# mp['kg_image_url'] = ''\n", - "# mp['kg_bio_url'] = ''\n", - "# mp['kg_id'] = ''\n", - "# mp['kg_url'] = ''\n", - "# mp['kg_description'] = ''\n", - "# mp['kg_bio_url'] = ''\n", - "# mp['kg_name'] = ''\n", - "# if mp['kg_url'] == [] or mp['kg_url'] == '[]':\n", - "# mp['kg_url'] = ''\n", - "\n", - " try:\n", - " _ = mp.pop('wp_bio')\n", - " except:\n", - " pass" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:megapixels]", + "display_name": "megapixels", "language": "python", - "name": "conda-env-megapixels-py" + "name": "megapixels" }, "language_info": { "codemirror_mode": { @@ -784,7 +657,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.6" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/megapixels/notebooks/datasets/imdb_wiki/identity.ipynb b/megapixels/notebooks/datasets/identity/imdb_wiki_identity.ipynb index 40d7bd86..40d7bd86 100644 --- a/megapixels/notebooks/datasets/imdb_wiki/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/imdb_wiki_identity.ipynb diff --git a/megapixels/notebooks/datasets/imdb_wiki_meta_debug.ipynb b/megapixels/notebooks/datasets/identity/imdb_wiki_meta_debug.ipynb index 3b66fc5e..3b66fc5e 100644 --- a/megapixels/notebooks/datasets/imdb_wiki_meta_debug.ipynb +++ b/megapixels/notebooks/datasets/identity/imdb_wiki_meta_debug.ipynb diff --git a/megapixels/notebooks/datasets/lfw/lfw_knowledge_graph.ipynb b/megapixels/notebooks/datasets/identity/lfw_knowledge_graph.ipynb index 01e516bb..01e516bb 100644 --- a/megapixels/notebooks/datasets/lfw/lfw_knowledge_graph.ipynb +++ b/megapixels/notebooks/datasets/identity/lfw_knowledge_graph.ipynb diff --git a/megapixels/notebooks/datasets/lfw/lfw_make_identity_csv.ipynb b/megapixels/notebooks/datasets/identity/lfw_make_identity_csv.ipynb index 039614f0..039614f0 100644 --- a/megapixels/notebooks/datasets/lfw/lfw_make_identity_csv.ipynb +++ b/megapixels/notebooks/datasets/identity/lfw_make_identity_csv.ipynb diff --git a/megapixels/notebooks/datasets/lfw/lfw_names.ipynb b/megapixels/notebooks/datasets/identity/lfw_names.ipynb index 8c474dd7..8c474dd7 100644 --- a/megapixels/notebooks/datasets/lfw/lfw_names.ipynb +++ b/megapixels/notebooks/datasets/identity/lfw_names.ipynb diff --git a/megapixels/notebooks/datasets/msceleb/identity.ipynb b/megapixels/notebooks/datasets/identity/msceleb_identity.ipynb index d330badb..d330badb 100644 --- a/megapixels/notebooks/datasets/msceleb/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/msceleb_identity.ipynb diff --git a/megapixels/notebooks/datasets/pubfig83/identity.ipynb b/megapixels/notebooks/datasets/identity/pubfig83_identity.ipynb index 697d9cee..9809d6d6 100644 --- a/megapixels/notebooks/datasets/pubfig83/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/pubfig83_identity.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -66,25 +66,26 @@ ], "source": [ "dir_lfw = '/data_store_hdd/datasets/people/pubfig83/media/original/'\n", - "names = [x.replace('_', ' ') for x in os.listdir(dir_lfw)]\n", + "names_orig = [x for x in os.listdir(dir_lfw)]\n", + "names_query = [x.replace('_', ' ') for x in names_orig]\n", "print(len(names))" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "julia stiles\n" + "julia_stiles\n" ] } ], "source": [ - "print(names[0])" + "print(names_orig[0])" ] }, { @@ -96,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -107,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -168,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -188,7 +189,7 @@ " 'kg_id': '/m/07s7wk',\n", " 'name': 'Adoor Gopalakrishnan',\n", " 'query': 'Adoor Gopalakrishnan',\n", - " 'score': 501.001862,\n", + " 'score': 501.590881,\n", " 'url': 'http://www.adoorgopalakrishnan.com'}\n" ] } @@ -634,9 +635,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:megapixels]", + "display_name": "megapixels", "language": "python", - "name": "conda-env-megapixels-py" + "name": "megapixels" }, "language_info": { "codemirror_mode": { @@ -648,7 +649,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.6" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/megapixels/notebooks/datasets/umd_faces/identity.ipynb b/megapixels/notebooks/datasets/identity/umd_faces_identity.ipynb index a3da9d58..a3da9d58 100644 --- a/megapixels/notebooks/datasets/umd_faces/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/umd_faces_identity.ipynb diff --git a/megapixels/notebooks/datasets/vgg_face2/clean_vgg_identity_meta_kg.ipynb b/megapixels/notebooks/datasets/identity/vgg_face2_clean_meta_kg.ipynb index 91ca1626..91ca1626 100644 --- a/megapixels/notebooks/datasets/vgg_face2/clean_vgg_identity_meta_kg.ipynb +++ b/megapixels/notebooks/datasets/identity/vgg_face2_clean_meta_kg.ipynb diff --git a/megapixels/notebooks/datasets/vgg_face2/identity.ipynb b/megapixels/notebooks/datasets/identity/vgg_face2_identity.ipynb index 66eeeb90..66eeeb90 100644 --- a/megapixels/notebooks/datasets/vgg_face2/identity.ipynb +++ b/megapixels/notebooks/datasets/identity/vgg_face2_identity.ipynb diff --git a/megapixels/notebooks/datasets/vgg_face2/vgg_names.ipynb b/megapixels/notebooks/datasets/identity/vgg_face2_names.ipynb index f792bc81..f792bc81 100644 --- a/megapixels/notebooks/datasets/vgg_face2/vgg_names.ipynb +++ b/megapixels/notebooks/datasets/identity/vgg_face2_names.ipynb diff --git a/megapixels/notebooks/datasets/lfw/lfw_vis_bboxes.ipynb b/megapixels/notebooks/datasets/lfw/lfw_vis_bboxes.ipynb index 4fa970fa..23054721 100644 --- a/megapixels/notebooks/datasets/lfw/lfw_vis_bboxes.ipynb +++ b/megapixels/notebooks/datasets/lfw/lfw_vis_bboxes.ipynb @@ -385,9 +385,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:megapixels]", + "display_name": "megapixels", "language": "python", - "name": "conda-env-megapixels-py" + "name": "megapixels" }, "language_info": { "codemirror_mode": { @@ -399,7 +399,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/megapixels/notebooks/datasets/lfw/output/lfw.png b/megapixels/notebooks/datasets/lfw/output/lfw.png Binary files differdeleted file mode 100644 index 87d36a7c..00000000 --- a/megapixels/notebooks/datasets/lfw/output/lfw.png +++ /dev/null diff --git a/megapixels/notebooks/datasets/lfw/output/lfw_mean_crop.png b/megapixels/notebooks/datasets/lfw/output/lfw_mean_crop.png Binary files differdeleted file mode 100644 index 50a0e497..00000000 --- a/megapixels/notebooks/datasets/lfw/output/lfw_mean_crop.png +++ /dev/null diff --git a/megapixels/notebooks/datasets/lfw/output/lfw_montage_1280.jpg b/megapixels/notebooks/datasets/lfw/output/lfw_montage_1280.jpg Binary files differdeleted file mode 100644 index 5cad0c32..00000000 --- a/megapixels/notebooks/datasets/lfw/output/lfw_montage_1280.jpg +++ /dev/null diff --git 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