update build_gallery and add android demo index support

deploy/python/build_gallery.py

@@ -12,16 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import os
+import pickle
 
 import cv2
 import faiss
 import numpy as np
-from tqdm import tqdm
-import pickle
-
-from paddleclas.deploy.utils import logger, config
-from paddleclas.deploy.python.predict_rec import RecPredictor
 from paddleclas.deploy.python.predict_rec import RecPredictor
+from paddleclas.deploy.utils import config, logger
+from tqdm import tqdm
 
 
 def split_datafile(data_file, image_root, delimiter="\t"):
@@ -53,6 +51,7 @@ class GalleryBuilder(object):
         self.rec_predictor = RecPredictor(config)
         assert 'IndexProcess' in config.keys(), "Index config not found ... "
         self.build(config['IndexProcess'])
+        self.android_demo = config["Global"].get("android_demo", False)
 
     def build(self, config):
         '''
@@ -70,98 +69,52 @@ class GalleryBuilder(object):
             "new", "remove", "append"
         ], "Only append, remove and new operation are supported"
 
+        if self.android_demo:
+            self._create_index_for_android_demo(config, gallery_features, gallery_docs)
+            return
+
         # vector.index: faiss index file
         # id_map.pkl: use this file to map id to image_doc
+        index, ids = None, None
         if operation_method in ["remove", "append"]:
-            # if remove or append, vector.index and id_map.pkl must exist
-            assert os.path.join(
-                config["index_dir"], "vector.index"
-            ), "The vector.index dose not exist in {} when 'index_operation' is not None".format(
-                config["index_dir"])
-            assert os.path.join(
-                config["index_dir"], "id_map.pkl"
-            ), "The id_map.pkl dose not exist in {} when 'index_operation' is not None".format(
-                config["index_dir"])
-            index = faiss.read_index(
-                os.path.join(config["index_dir"], "vector.index"))
-            with open(os.path.join(config["index_dir"], "id_map.pkl"),
-                      'rb') as fd:
-                ids = pickle.load(fd)
-            assert index.ntotal == len(ids.keys(
-            )), "data number in index is not equal in in id_map"
+            # if remove or append, load vector.index and id_map.pkl
+            index, ids = self._load_index()
         else:
-            if not os.path.exists(config["index_dir"]):
-                os.makedirs(config["index_dir"], exist_ok=True)
-            index_method = config.get("index_method", "HNSW32")
-
-            # if IVF method, cal ivf number automaticlly
-            if index_method == "IVF":
-                index_method = index_method + str(
-                    min(int(len(gallery_images) // 8), 65536)) + ",Flat"
-
-            # for binary index, add B at head of index_method
-            if config["dist_type"] == "hamming":
-                index_method = "B" + index_method
-
-            #dist_type
-            dist_type = faiss.METRIC_INNER_PRODUCT if config[
-                "dist_type"] == "IP" else faiss.METRIC_L2
-
-            #build index
-            if config["dist_type"] == "hamming":
-                index = faiss.index_binary_factory(config["embedding_size"],
-                                                   index_method)
-            else:
-                index = faiss.index_factory(config["embedding_size"],
-                                            index_method, dist_type)
-                index = faiss.IndexIDMap2(index)
-            ids = {}
-
-        if config["index_method"] == "HNSW32":
+            index_method, index, ids = self._create_index(config)
+        if index_method == "HNSW32":
             logger.warning(
                 "The HNSW32 method dose not support 'remove' operation")
 
         if operation_method != "remove":
             # calculate id for new data
-            start_id = max(ids.keys()) + 1 if ids else 0
-            ids_now = (
-                np.arange(0, len(gallery_images)) + start_id).astype(np.int64)
-
-            # only train when new index file
-            if operation_method == "new":
-                if config["dist_type"] == "hamming":
-                    index.add(gallery_features)
-                else:
-                    index.train(gallery_features)
-
-            if not config["dist_type"] == "hamming":
-                index.add_with_ids(gallery_features, ids_now)
-
-            for i, d in zip(list(ids_now), gallery_docs):
-                ids[i] = d
+            index, ids = self._add_gallery(index, ids, gallery_features, gallery_docs)
         else:
-            if config["index_method"] == "HNSW32":
+            if index_method == "HNSW32":
                 raise RuntimeError(
                     "The index_method: HNSW32 dose not support 'remove' operation"
                 )
             # remove ids in id_map, remove index data in faiss index
-            remove_ids = list(
-                filter(lambda k: ids.get(k) in gallery_docs, ids.keys()))
-            remove_ids = np.asarray(remove_ids)
-            index.remove_ids(remove_ids)
-            for k in remove_ids:
-                del ids[k]
+            index, ids = self._rm_id_in_galllery(index, ids, gallery_docs)
 
         # store faiss index file and id_map file
-        if config["dist_type"] == "hamming":
-            faiss.write_index_binary(
-                index, os.path.join(config["index_dir"], "vector.index"))
-        else:
-            faiss.write_index(
-                index, os.path.join(config["index_dir"], "vector.index"))
+        self._save_gallery(config, index, ids)
 
-        with open(os.path.join(config["index_dir"], "id_map.pkl"), 'wb') as fd:
-            pickle.dump(ids, fd)
+    def _create_index_for_android_demo(self, config, gallery_features, gallery_docs):
+        if not os.path.exists(config["index_dir"]):
+            os.makedirs(config["index_dir"], exist_ok=True)
+        #build index
+        index = faiss.IndexFlatIP(config["embedding_size"])
+        ids = {}
+
+        # calculate id for new data
+        ids_now = (
+            np.arange(0, len(gallery_images))).astype(np.int64)
+
+        index.add(gallery_features)
+
+        for i, d in zip(list(ids_now), gallery_docs):
+            ids[i] = d
+        self._save_gallery(config, index, ids)
 
     def _extract_features(self, gallery_images, config):
         # extract gallery features
@@ -197,6 +150,93 @@ class GalleryBuilder(object):
 
         return gallery_features
 
+    def _load_index(self, config):
+        assert os.path.join(
+            config["index_dir"], "vector.index"
+        ), "The vector.index dose not exist in {} when 'index_operation' is not None".format(
+            config["index_dir"])
+        assert os.path.join(
+            config["index_dir"], "id_map.pkl"
+        ), "The id_map.pkl dose not exist in {} when 'index_operation' is not None".format(
+            config["index_dir"])
+        index = faiss.read_index(
+            os.path.join(config["index_dir"], "vector.index"))
+        with open(os.path.join(config["index_dir"], "id_map.pkl"),
+                  'rb') as fd:
+            ids = pickle.load(fd)
+        assert index.ntotal == len(ids.keys(
+        )), "data number in index is not equal in in id_map"
+        return index, ids
+
+    def _create_index(self, config):
+        if not os.path.exists(config["index_dir"]):
+            os.makedirs(config["index_dir"], exist_ok=True)
+        index_method = config.get("index_method", "HNSW32")
+
+        # if IVF method, cal ivf number automaticlly
+        if index_method == "IVF":
+            index_method = index_method + str(
+                min(int(len(gallery_images) // 8), 65536)) + ",Flat"
+
+        # for binary index, add B at head of index_method
+        if config["dist_type"] == "hamming":
+            index_method = "B" + index_method
+
+        #dist_type
+        dist_type = faiss.METRIC_INNER_PRODUCT if config[
+            "dist_type"] == "IP" else faiss.METRIC_L2
+
+        #build index
+        if config["dist_type"] == "hamming":
+            index = faiss.index_binary_factory(config["embedding_size"],
+                                               index_method)
+        else:
+            index = faiss.index_factory(config["embedding_size"],
+                                        index_method, dist_type)
+            index = faiss.IndexIDMap2(index)
+        ids = {}
+        return index_method, index, ids
+
+    def _add_gallery(self, index, ids, gallery_features, gallery_docs):
+        start_id = max(ids.keys()) + 1 if ids else 0
+        ids_now = (
+            np.arange(0, len(gallery_docs)) + start_id).astype(np.int64)
+
+        # only train when new index file
+        if operation_method == "new":
+            if config["dist_type"] == "hamming":
+                index.add(gallery_features)
+            else:
+                index.train(gallery_features)
+
+        if not config["dist_type"] == "hamming":
+            index.add_with_ids(gallery_features, ids_now)
+
+        for i, d in zip(list(ids_now), gallery_docs):
+            ids[i] = d
+        return index, ids
+
+    def _rm_id_in_galllery(self, index, ids, gallery_docs)
+        remove_ids = list(
+            filter(lambda k: ids.get(k) in gallery_docs, ids.keys()))
+        remove_ids = np.asarray(remove_ids)
+        index.remove_ids(remove_ids)
+        for k in remove_ids:
+            del ids[k]
+
+        return index, ids
+
+    def _save_gallery(self, config, index, ids):
+        if config["dist_type"] == "hamming":
+            faiss.write_index_binary(
+                index, os.path.join(config["index_dir"], "vector.index"))
+        else:
+            faiss.write_index(
+                index, os.path.join(config["index_dir"], "vector.index"))
+
+        with open(os.path.join(config["index_dir"], "id_map.pkl"), 'wb') as fd:
+            pickle.dump(ids, fd)
+
 
 def main(config):
     GalleryBuilder(config)