Exemple #1
0
    def reload_gallery(self, request, **kwargs):
        reindex_gallery()
        galleryGalPath = get_gallery_file()
        galGallery = br.br_make_gallery(galleryGalPath)
        galTemplateList = br.br_load_from_gallery(galGallery)

        # compare and collect scores
        ntargets = br.br_num_templates(galTemplateList)
        logger.debug(str(ntargets) + " templates found in the gallery at " + galleryGalPath)
        res = str(ntargets) + " templates found in the gallery at " + galleryGalPath
        for r in range(ntargets):
            tmpl = br.br_get_template(galTemplateList, r)
            logger.debug("Filename = " + br.br_get_filename(tmpl))
        response = self.create_response(request, res)
        br.br_free_template_list(galTemplateList)
        br.br_close_gallery(galGallery)
        return response
Exemple #2
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    def reload_gallery(self, request, **kwargs):
        reindex_gallery()
        galleryGalPath = get_gallery_file()
        galGallery = br.br_make_gallery(galleryGalPath)
        galTemplateList = br.br_load_from_gallery(galGallery)

        # compare and collect scores
        ntargets = br.br_num_templates(galTemplateList)
        logger.debug(str(ntargets) + " templates found in the gallery at " + galleryGalPath)
        res = str(ntargets) + " templates found in the gallery at " + galleryGalPath
        for r in range(ntargets):
            tmpl = br.br_get_template(galTemplateList, r)
            logger.debug("Filename = " + br.br_get_filename(tmpl))
        response = self.create_response(request, res)
        br.br_free_template_list(galTemplateList)
        br.br_close_gallery(galGallery)
        return response
Exemple #3
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    def obj_create(self, bundle, request=None, **kwargs):
        # create a new File
        bundle.obj = FaceSearch()
        # full_hydrate does the heavy lifting mapping the
        # POST-ed payload key/values to object attribute/values
        bundle = self.full_hydrate(bundle)
        file_data = bundle.data[u'file'].read()
        filename_name, file_extension = os.path.splitext(bundle.data[u'file'].name)

        # Load uploaded image with OpenBR
        facetmpl = br.br_load_img(file_data, len(file_data))
        query = br.br_enroll_template(facetmpl)

        # Open the OpenBR gallery file
        galleryGalPath = get_gallery_file()
        galGallery = br.br_make_gallery(galleryGalPath)
        galTemplateList = br.br_load_from_gallery(galGallery)

        # compare and collect scores
        nqueries = br.br_num_templates(query)
        ntargets = br.br_num_templates(galTemplateList)
        scoresmat = br.br_compare_template_lists(galTemplateList, query)
        scores = []
        for r in range(ntargets):
            for c in range(nqueries):
                # This is not a percentage match, it's a relative score
                similarity = br.br_get_matrix_output_at(scoresmat, r, c)
                tmpl = br.br_get_template(galTemplateList, r)
                # TODO: This doesn't seem to work through PyCharm, but does once deployed
                # Plus, it's not correlating filenames to templates correctly.
                #filename = br.br_get_filename(tmpl)
                #scores.append((os.path.basename(filename), similarity))
                scores.append(('replace-me', similarity))

        # clean up - no memory leaks
        br.br_free_template(facetmpl)
        br.br_free_template_list(query)
        br.br_free_template_list(galTemplateList)
        br.br_close_gallery(galGallery)

        scores.sort(key=lambda s: s[1], reverse=True)
        peeps = Person.objects.filter(pic_filename__in=dict(scores).keys()).values()

        # TODO: Make 15 a parameter - right now we return the top 15 results
        sorted_peeps = []
        for s in scores[:15]:
            sorted_peeps.append(filter(lambda p: p['pic_filename'] == s[0], peeps)[0])

        # bundle the search results
        bundle.obj.name = bundle.data[u'file'].name
        bundle.data.pop(u'file', None)
        bundle.data['meta'] = {
            "limit": len(peeps),
            "next": None,
            "offset": 0,
            "previous": None,
            "total_count": len(peeps)
        }

        bundle.data['objects'] = sorted_peeps
        bundle.data['scores'] = scores
        return bundle
Exemple #4
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    def obj_create(self, bundle, request=None, **kwargs):
        # create a new File
        bundle.obj = FaceSearch()
        # full_hydrate does the heavy lifting mapping the
        # POST-ed payload key/values to object attribute/values
        bundle = self.full_hydrate(bundle)
        file_data = bundle.data[u'file'].read()
        filename_name, file_extension = os.path.splitext(
            bundle.data[u'file'].name)

        # Load uploaded image with OpenBR
        facetmpl = br.br_load_img(file_data, len(file_data))
        query = br.br_enroll_template(facetmpl)

        # Open the OpenBR gallery file
        galleryGalPath = get_gallery_file()
        galGallery = br.br_make_gallery(galleryGalPath)
        galTemplateList = br.br_load_from_gallery(galGallery)

        # compare and collect scores
        nqueries = br.br_num_templates(query)
        ntargets = br.br_num_templates(galTemplateList)
        scoresmat = br.br_compare_template_lists(galTemplateList, query)
        scores = []
        for r in range(ntargets):
            for c in range(nqueries):
                # This is not a percentage match, it's a relative score
                similarity = br.br_get_matrix_output_at(scoresmat, r, c)
                tmpl = br.br_get_template(galTemplateList, r)
                # TODO: This doesn't seem to work through PyCharm, but does once deployed
                # Plus, it's not correlating filenames to templates correctly.
                #filename = br.br_get_filename(tmpl)
                #scores.append((os.path.basename(filename), similarity))
                scores.append(('replace-me', similarity))

        # clean up - no memory leaks
        br.br_free_template(facetmpl)
        br.br_free_template_list(query)
        br.br_free_template_list(galTemplateList)
        br.br_close_gallery(galGallery)

        scores.sort(key=lambda s: s[1], reverse=True)
        peeps = Person.objects.filter(
            pic_filename__in=dict(scores).keys()).values()

        # TODO: Make 15 a parameter - right now we return the top 15 results
        sorted_peeps = []
        for s in scores[:15]:
            sorted_peeps.append(
                filter(lambda p: p['pic_filename'] == s[0], peeps)[0])

        # bundle the search results
        bundle.obj.name = bundle.data[u'file'].name
        bundle.data.pop(u'file', None)
        bundle.data['meta'] = {
            "limit": len(peeps),
            "next": None,
            "offset": 0,
            "previous": None,
            "total_count": len(peeps)
        }

        bundle.data['objects'] = sorted_peeps
        bundle.data['scores'] = scores
        return bundle